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Enhancement Of A Compositional Reservoir Simulator For Realistic Modeling Of Co2 Eor Processes
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Book Synopsis Enhancement of a Compositional Reservoir Simulator, for Realistic Modeling of CO2 EOR Processes by : Melpakam G. Parthasarathy
Download or read book Enhancement of a Compositional Reservoir Simulator, for Realistic Modeling of CO2 EOR Processes written by Melpakam G. Parthasarathy and published by . This book was released on 1996 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modeling Chemical EOR Processes Using IMPEC and Fully IMPLICIT Reservoir Simulators by : Nariman Fathi Najafabadi
Download or read book Modeling Chemical EOR Processes Using IMPEC and Fully IMPLICIT Reservoir Simulators written by Nariman Fathi Najafabadi and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As easy target reservoirs are depleted around the world, the need for intelligent enhanced oil recovery (EOR) methods increases. The first part of this work is focused on modeling aspects of novel chemical EOR methods for naturally fractured reservoirs (NFR) involving wettability modification towards more water wet conditions. The wettability of preferentially oil wet carbonates can be modified to more water wet conditions using alkali and/or surfactant solutions. This helps the oil production by increasing the rate of spontaneous imbibition of water from fractures into the matrix. This novel method cannot be successfully implemented in the field unless all of the mechanisms involved in this process are fully understood. A wettability alteration model is developed and implemented in the chemical flooding simulator, UTCHEM. A combination of laboratory experimental results and modeling is then used to understand the mechanisms involved in this process and their relative importance. The second part of this work is focused on modeling surfactant/polymer floods using a fully implicit scheme. A fully implicit chemical flooding module with comprehensive oil/brine/surfactant phase behavior is developed and implemented in general purpose adaptive simulator, GPAS. GPAS is a fully implicit, parallel EOS compositional reservoir simulator developed at The University of Texas at Austin. The developed chemical flooding module is then validated against UTCHEM.
Book Synopsis Phase Behavior and Compositional Simulation of Solvent EOR Processes in Unconventional Reservoirs by : Sajjad Sadeghi Neshat
Download or read book Phase Behavior and Compositional Simulation of Solvent EOR Processes in Unconventional Reservoirs written by Sajjad Sadeghi Neshat and published by . This book was released on 2020 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in hydraulic fracturing and horizontal drilling technologies applied to unconventional resources have enabled very large increases in oil and gas production in the United States. While the initial production rate from new wells is often high, the rate of decline during the first year of production is also very high. The ultimate hydrocarbon recovery using current technology is estimated to be between 5 to 10%, which is very low compared to conventional oil reservoirs. These challenges have increased the demand for enhanced oil recovery (EOR) in unconventional reservoirs. Unconventional reservoirs have very different properties than conventional reservoirs such as extremely low permeability, wide and complex pore size distributions, high total organic carbon (TOC), and high heterogeneity. New cost effective EOR methods consistent with these properties are needed. This research presents a new framework for phase behavior modeling and compositional simulation of solvent EOR in unconventional reservoirs (also called tight oil reservoirs). Several new physical models were developed for this purpose. The new developments include a three-phase capillary pressure model, a phase stability method for multi-component mixtures with capillary pressure, coupled three-phase flash and capillary pressure models, and a new oil characterization method for organic-rich reservoirs. These models improve petrophysical, thermodynamic, and transport modeling of unconventional reservoirs. All new models were implemented in UTCOMP, an equation-of-state compositional reservoir simulator. The simulator was used for design and optimization of solvent EOR processes in organic-rich tight oil reservoirs. The oil recovery using cyclic huff-n-puff injection of a variety of solvents such as natural gas, CO2, methanol and dimethyl ether (DME) was compared. DME has the best performance among all solvents considered in this research. At reservoir conditions, DME mixes with both water and hydrocarbon phases. This helps to remove water blockage as well as retrograde condensate in gas-condensate reservoirs. DME can also extract part of the bitumen in the rock, which does not flow by itself due to its extremely high viscosity. Since the recovery rate of DME is very high, it can be recycled and injected back into the reservoir to reduce its net cost
Book Synopsis Integrated Reservoir Studies for CO2-Enhanced Oil Recovery and Sequestration by : Shib Sankar Ganguli
Download or read book Integrated Reservoir Studies for CO2-Enhanced Oil Recovery and Sequestration written by Shib Sankar Ganguli and published by Springer. This book was released on 2017-03-30 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the feasibility of CO2-EOR and sequestration in a mature Indian oil field, pursuing for the first time a cross-disciplinary approach that combines the results from reservoir modeling and flow simulation, rock physics modeling, geomechanics, and time-lapse (4D) seismic monitoring study. The key findings presented indicate that the field under study holds great potential for enhanced oil recovery (EOR) and subsequent CO2 storage. Experts around the globe argue that storing CO2 by means of enhanced oil recovery (EOR) could support climate change mitigation by reducing the amount of CO2 emissions in the atmosphere by ca. 20%. CO2-EOR and sequestration is a cutting-edge and emerging field of research in India, and there is an urgent need to assess Indian hydrocarbon reservoirs for the feasibility of CO2-EOR and storage. Combining the fundamentals of the technique with concrete examples, the book is essential reading for all researchers, students and oil & gas professionals who want to fully understand CO2-EOR and its geologic sequestration process in mature oil fields.
Book Synopsis Reservoir Simulation Studies for Coupled CO2 Sequestration and Enhanced Oil Recovery by : Yousef Ghomian
Download or read book Reservoir Simulation Studies for Coupled CO2 Sequestration and Enhanced Oil Recovery written by Yousef Ghomian and published by . This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compositional reservoir simulation studies were performed to investigate the effect of uncertain reservoir parameters, flood design variables, and economic factors on coupled CO2 sequestration and EOR projects. Typical sandstone and carbonate reservoir properties were used to build generic reservoir models. A large number of simulations were needed to quantify the impact of all these factors and their corresponding uncertainties taking into account various combinations of the factors. The design of experiment method along with response surface methodology and Monte-Carlo simulations were utilized to maximize the information gained from each uncertainty analysis. The two objective functions were project profit in the form of $/bbl of oil produced and sequestered amount of CO2 in the reservoir. The optimized values for all objective functions predicted by design of experiment and the response surface method were found to be close to the values obtained by the simulation study, but with only a small fraction of the computational time. After the statistical analysis of the simulation results, the most to least influential factors for maximizing both profit and amount of stored CO2 are the produced gas oil ratio constraint, production and injection well types, and well spacing. For WAG injection scenarios, the Dykstra-Parsons coefficient and combinations of WAG ratio and slug size are important parameters. Also for a CO2 flood, no significant reduction of profit occurred when only the storage of CO2 was maximized. In terms of the economic parameters, it was demonstrated that the oil price dominates the CO2 EOR and storage. This study showed that sandstone reservoirs have higher probability of need for CO2i ncentives. In addition, higher CO2 credit is needed for WAG injection scenarios than continuous CO2 injection. As the second part of this study, scaling groups for miscible CO2 flooding in a three-dimensional oil reservoir were derived using inspectional analysis with special emphasis on the equations related to phase behavior. Some of these scaling groups were used to develop a new MMP correlation. This correlation was compared with published correlations using a wide range of reservoir fluids and found to give more accurate predictions of the MMP.
Book Synopsis A Numerical Study of CO2-EOR with Emphasis on Mobility Control Processes by : Venkateswaran Sriram Pudugramam
Download or read book A Numerical Study of CO2-EOR with Emphasis on Mobility Control Processes written by Venkateswaran Sriram Pudugramam and published by . This book was released on 2013 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: CO2 enhanced oil recovery (CO2-EOR) in residual oil zones has emerged as a viable technique to maximize both the oil production and carbon storage. Most CO2 field projects suffer from inadequate sweep because of high mobility of CO2 compared to the oil. Gas conformance techniques have the potential to further improve the effectiveness of CO2-EOR projects. The choice of mobility control to improve the sweep efficiency is critical and simulation studies with hysteretic relative permeability and mechanistic foam model can assist in the choice of technique and optimization of the process for each reservoir. Two promising mobility control practices of Water Alternating Gas (WAG) and foam are evaluated using the in-house compositional gas reservoir simulator (DOE-CO2). The effect of hysteresis and cycle dependent relative permeability on WAG and foam injections incorporating a new three-phase hysteresis model has been investigated. Simulations are performed with and without hysteresis to assess the impact of the saturation history and saturation path on gas entrapment, fluid injectivity and oil recovery. The foam assisted technique in CO2-EOR processes has also been investigated. Here foam is generated in-situ by injecting surfactant solution with CO2 rather than directly injecting foam. A simplified yet mechanistic population-balance model implemented in the in-house simulator has been applied to test the impact of foam. The results have been compared with an empirical foam model which is the standard model in commercial simulators. Simulations have been performed on actual field models for selection and optimization of the CO2 injection scheme, quantifying the impact of hysteresis, depicting the effectiveness of CO2-EOR process as against a surfactant flood, the effectiveness of foam assisted floods and insights into low tension gas flooding process. All the above analyses have also been performed on layer cake models with properties replicating the Permian Basin carbonate reservoirs and Gulf Coast sandstone reservoirs. Hysteresis shows an improvement in oil recovery of gas injection schemes where flow reversal takes place. Foam has been found to be effective and the models show lower CO2 utilizations factors compared to the case without foam.
Book Synopsis Physics and Deep Learning Based Methods for Compositional Reservoir Simulation by : Ruixiao Sun
Download or read book Physics and Deep Learning Based Methods for Compositional Reservoir Simulation written by Ruixiao Sun and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Gas injection processes for enhanced oil recovery are modeled using numerical compositional simulation. These complex displacement processes entail the mass transfer of large numbers of components among multiple fluid phases. The phase behavior is described using thermodynamic equilibrium constraints. The solution of these constraints yields the phase state and the composition of the different fluid phases that share the pore space. The accuracy and efficiency of the phase behavior computations are essential for using compositional simulation for problems of practical interest. We extend our in-house research simulator (AD-GPRS) to model general three-phase fluid mixtures. Therefore, this simulator can describe the three-phase gas injection process with water existence. In the three-phase compositional simulation, every component is allowed to exist and transfer among hydrocarbon and aqueous phases. We validate the compositional simulation by comparison with a commercial simulator's results and refinement studies. We demonstrate the robust performance of the three-phase compositional simulator by extensive test cases. Thermodynamic calculations require extensive computations, which will be significantly increased as more components involved in the reservoir fluids. Therefore, the acceleration of compositional simulation is crucial to explore after the robustness is preserved. We develop two deep-learning based models for stability analysis and flash calculation separately, to reduce the cost of thermodynamic calculations. We systematically present the process of data generation, training, and model optimization, which unravels some of the mysteries surrounding the theory and application of data-driven methods in reservoir simulation. Then the robustness and accuracy of two deep-learning-based models are verified by various case tests. Besides, incorrectly labeled phases could cause phase oscillations during simulation, further leading to the failure in numerical convergence. The main challenge for currently published methods is to keep a balance between computational costs and correctness in compositional simulation. Here, we propose a mixed methodology based on deep-learning techniques and straightforward geometrical principles. We use several case studies to show that this method can ensure accuracy and efficiency at the same time. What is more, we pioneer the application of deep-learning-based techniques in compositional simulations to accelerate computational speed. Notably, we present a strategy to batch mixtures together as one whole input vector for a deep-learning-based model, referred to as the vectorization. This technique allows the phase module to determine phase behaviors for abundant grid cells simultaneously, eliminating the iteration process in traditional compositional simulation. Improvements in computational speed are examined by a series of challenging cases on immiscible and miscible displacements. With in-depth analyses of performances, we demonstrate the robustness and strength of deep-learning-based techniques in accelerating compositional simulation computations.
Book Synopsis Reservoir Simulation of CO2 Sequestration and Enhanced Oil Recovery in Tensleep Formation, Teapot Dome Field by : Ricardo Gaviria Garcia
Download or read book Reservoir Simulation of CO2 Sequestration and Enhanced Oil Recovery in Tensleep Formation, Teapot Dome Field written by Ricardo Gaviria Garcia and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Teapot Dome field is located 35 miles north of Casper, Wyoming in Natrona County. This field has been selected by the U.S. Department of Energy to implement a field-size CO2 storage project. With a projected storage of 2.6 million tons of carbon dioxide a year under fully operational conditions in 2006, the multiple-partner Teapot Dome project could be one of the world's largest CO2 storage sites. CO2 injection has been used for decades to improve oil recovery from depleted hydrocarbon reservoirs. In the CO2 sequestration technique, the aim is to "co-optimize" CO2 storage and oil recovery. In order to achieve the goal of CO2 sequestration, this study uses reservoir simulation to predict the amount of CO2 that can be stored in the Tensleep Formation and the amount of oil that can be produced as a side benefit of CO2 injection. This research discusses the effects of using different reservoir fluid models from EOS regression and fracture permeability in dual porosity models on enhanced oil recovery and CO2 storage in the Tensleep Formation. Oil and gas production behavior obtained from the fluid models were completely different. Fully compositional and pseudo-miscible black oil fluid models were tested in a quarter of a five spot pattern. Compositional fluid model is more convenient for enhanced oil recovery evaluation. Detailed reservoir characterization was performed to represent the complex characteristics of the reservoir. A 3D black oil reservoir simulation model was used to evaluate the effects of fractures in reservoir fluids production. Single porosity simulation model results were compared with those from the dual porosity model. Based on the results obtained from each simulation model, it has been concluded that the pseudo-miscible model can not be used to represent the CO2 injection process in Teapot Dome. Dual porosity models with variable fracture permeability provided a better reproduction of oil and water rates in the highly fractured Tensleep Formation.
Book Synopsis Efficient Simulation of Thermal Enhanced Oil Recovery Processes by : Zhouyuan Zhu
Download or read book Efficient Simulation of Thermal Enhanced Oil Recovery Processes written by Zhouyuan Zhu and published by Stanford University. This book was released on 2011 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulating thermal processes is usually computationally expensive because of the complexity of the problem and strong nonlinearities encountered. In this work, we explore novel and efficient simulation techniques to solve thermal enhanced oil recovery problems. We focus on two major topics: the extension of streamline simulation for thermal enhanced oil recovery and the efficient simulation of chemical reaction kinetics as applied to the in-situ combustion process. For thermal streamline simulation, we first study the extension to hot water flood processes, in which we have temperature induced viscosity changes and thermal volume changes. We first compute the pressure field on an Eulerian grid. We then solve for the advective parts of the mass balance and energy equations along the individual streamlines, accounting for the compressibility effects. At the end of each global time step, we account for the nonadvective terms on the Eulerian grid along with gravity using operator splitting. We test our streamline simulator and compare the results with a commercial thermal simulator. Sensitivity studies for compressibility, gravity and thermal conduction effects are presented. We further extended our thermal streamline simulation to steam flooding. Steam flooding exhibits large volume changes and compressibility associated with the phase behavior of steam, strong gravity segregation and override, and highly coupled energy and mass transport. To overcome these challenges we implement a novel pressure update along the streamlines, a Glowinski scheme operator splitting and a preliminary streamline/finite volume hybrid approach. We tested our streamline simulator on a series of test cases. We compared our thermal streamline results with those computed by a commercial thermal simulator for both accuracy and efficiency. For the cases investigated, we are able to retain solution accuracy, while reducing computational cost and gaining connectivity information from the streamlines. These aspects are useful for reservoir engineering purposes. In traditional thermal reactive reservoir simulation, mass and energy balance equations are solved numerically on discretized reservoir grid blocks. The reaction terms are calculated through Arrhenius kinetics using cell-averaged properties, such as averaged temperature and reactant concentrations. For the in-situ combustion process, the chemical reaction front is physically very narrow, typically a few inches thick. To capture accurately this front, centimeter-sized grids are required that are orders of magnitude smaller than the affordable grid block sizes for full field reservoir models. To solve this grid size effect problem, we propose a new method based on a non-Arrhenius reaction upscaling approach. We do not resolve the combustion front on the grid, but instead use a subgrid-scale model that captures the overall effects of the combustion reactions on flow and transport, i.e. the amount of heat released, the amount of oil burned and the reaction products generated. The subgrid-scale model is calibrated using fine-scale highly accurate numerical simulation and laboratory experiments. This approach significantly improves the computational speed of in-situ combustion simulation as compared to traditional methods. We propose the detailed procedures to implement this methodology in a field-scale simulator. Test cases illustrate the solution consistency when scaling up the grid sizes in multidimensional heterogeneous problems. The methodology is also applicable to other subsurface reactive flow modeling problems with fast chemical reactions and sharp fronts. Displacement front stability is a major concern in the design of all the enhanced oil recovery processes. Historically, premature combustion front break through has been an issue for field operations of in-situ combustion. In this work, we perform detailed analysis based on both analytical methods and numerical simulation. We identify the different flow regimes and several driving fronts in a typical 1D ISC process. For the ISC process in a conventional mobile heavy oil reservoir, we identify the most critical front as the front of steam plateau driving the cold oil bank. We discuss the five main contributors for this front stability/instability: viscous force, condensation, heat conduction, coke plugging and gravity. Detailed numerical tests are performed to test and rank the relative importance of all these different effects.
Book Synopsis A Compositional Reservoir Simulation Study to Evaluate Impacts of Captured CO2 Composition, Miscibility, and Injection Strategy on CO2-EOR and Sequestration in a Carbonate Oil Reservoir by : Abdulhamid Alsousy
Download or read book A Compositional Reservoir Simulation Study to Evaluate Impacts of Captured CO2 Composition, Miscibility, and Injection Strategy on CO2-EOR and Sequestration in a Carbonate Oil Reservoir written by Abdulhamid Alsousy and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the global energy demand rises, concerns regarding the increasing carbon levels deepen. Pushing the international community to pour their time and resources into exploring all avenues that bear potential to aid the decarbonization efforts. The decarbonization efforts attempt to either reduce carbon dioxide emissions or to capture carbon dioxide from the atmosphere. The oil and gas industry’s role falls into the first category. Where captured CO2 is sequestered into geological stable formations as part of carbon capture, utilization, and storage (CCUS) or carbon capture and storage (CCS) projects. CCUS and CCS technologies hold the keys to decarbonization, possessing a large capacity capable of storing over 8000 GtCO2, utilizing oil and gas reservoirs, saline aquifers, and coal beds to discard CO2. In addition, the sequestration in geological structures is long-term, with minimal risk of reintroducing the stored gas back to the surface. This work investigates two scenarios, one in which the reservoir undergoes a tertiary production and another where the reservoir has reached the abandonment stage of its life cycle. The analyses are carried out by employing a historically matched numerical model of a real carbonate reservoir to explore CO2 storage implications on the reservoir’s performance (EOR) and the efficiency of the injected gas storage in the subsurface. For a holistic evaluation, the numerical model accounts for relative permeability hysteresis, phase trapping, geochemistry, and thermodynamics. Various analyses are conducted to establish the recommended gas blend injected, the importance of miscibility, and the manner of injection (WAG or gas flood). The results showcased how miscible injection outperforms immiscible in CO2-EOR and sequestration efficiency. Furthermore, gas flood is recommended over WAG, especially when recycling produced gases is possible to store larger volumes of carbon dioxide
Book Synopsis Reservoir Simulation and Optimization of CO2 Huff-and-puff Operations in the Bakken Shale by : Daniel Sanchez Rivera
Download or read book Reservoir Simulation and Optimization of CO2 Huff-and-puff Operations in the Bakken Shale written by Daniel Sanchez Rivera and published by . This book was released on 2014 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A numerical reservoir model was created to optimize CO2 Huff-and-Puff operations in the Bakken Shale. Huff-and-Puff is an enhanced oil recovery treatment in which a well alternates between injection, soaking, and production. Injecting CO2 into the formation and allowing it to "soak" re-pressurizes the reservoir and improves oil mobility, boosting production from the well. A compositional reservoir simulator was used to study the various design components of the Huff-and-Puff process in order to identify the parameters with the largest impact on recovery and understand the reservoir's response to cyclical CO2 injection. It was found that starting Huff-and-Puff too early in the life of the well diminishes its effectiveness, and that shorter soaking periods are preferable over longer waiting times. Huff-and-Puff works best in reservoirs with highly-conductive natural fracture networks, which allow CO2 to migrate deep into the formation and mix with the reservoir fluids. The discretization of the computational domain has a large impact on the simulation results, with coarser gridding corresponding to larger projected recoveries. Doubling the number of hydraulic fractures per stage results in considerably greater CO2 injection requirements without proportionally larger incremental recovery factors. Incremental recovery from CO2 Huff-and-Puff appears to be insufficient to make the process commercially feasible under current economic conditions. However, re-injecting mixtures of CO2 and produced hydrocarbon gases was proven to be technically and economically viable, which could significantly improve profit margins of Huff-and-Puff operations. A substantial portion of this project involved studying alternative numerical methods for modeling hydraulically-fractured reservoir models. A domain decomposition technique known as mortar coupling was used to model the reservoir system as two individually-solved subdomains: fracture and matrix. A mortar-based numerical reservoir simulator was developed and its results compared to a tradition full-domain finite difference model for the Cinco-Ley et al. (1978) finite-conductivity vertical fracture problem. Despite some numerical issues, mortar coupling closely matched Cinco-Ley et al.'s (1978) solution and has potential applications in complex problems where decoupling the fracture-matrix system might be advantageous.
Book Synopsis Fundamentals of Enhanced Oil Recovery Methods for Unconventional Oil Reservoirs by : Dheiaa Alfarge
Download or read book Fundamentals of Enhanced Oil Recovery Methods for Unconventional Oil Reservoirs written by Dheiaa Alfarge and published by Elsevier. This book was released on 2020-09-09 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Enhanced Oil Recovery Methods for Unconventional Oil Reservoirs, Volume 67 provides important guidance on which EOR methods work in shale and tight oil reservoirs. This book helps readers learn the main fluid and rock properties of shale and tight reservoirs—which are the main target for EOR techniques—and understand the physical and chemical mechanisms for the injected EOR fluids to enhance oil recovery in shale and tight oil reservoirs. The book explains the effects of complex hydraulic fractures and natural fractures on the performance of each EOR technique. The book describes the parameters affecting obtained oil recovery by injecting different EOR methods in both the microscopic and macroscopic levels of ULR. This book also provides proxy models to associate the functionality of the improved oil recovery by injecting different EOR methods with different operating parameters, rock, and fluid properties. The book provides profesasionals working in the petroleum industry the know-how to conduct a successful project for different EOR methods in shale plays, while it also helps academics and students in understanding the basics and principles that make the performance of EOR methods so different in conventional reservoirs and unconventional formations. - Provides a general workflow for how to conduct a successful project for different EOR methods in these shale plays - Provides general guidelines for how to select the best EOR method according to the reservoir characteristics and wells stimulation criteria - Explains the basics and principles that make the performance of EOR methods so different in conventional reservoirs versus unconventional formations
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 2009 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Low Salinity and Engineered Water Injection for Sandstone and Carbonate Reservoirs by : Emad Walid Al Shalabi
Download or read book Low Salinity and Engineered Water Injection for Sandstone and Carbonate Reservoirs written by Emad Walid Al Shalabi and published by Gulf Professional Publishing. This book was released on 2017-06-14 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Low Salinity and Engineered Water Injection for Sandstone and Carbonate Reservoirs provides a first of its kind review of the low salinity and engineered water injection (LSWI/EWI) techniques for today's more complex enhanced oil recovery methods. Reservoir engineers today are challenged in the design and physical mechanisms behind low salinity injection projects, and to date, the research is currently only located in numerous journal locations. This reference helps readers overcome these challenging issues with explanations on models, experiments, mechanism analysis, and field applications involved in low salinity and engineered water. Covering significant laboratory, numerical, and field studies, lessons learned are also highlighted along with key areas for future research in this fast-growing area of the oil and gas industry. After an introduction to its techniques, the initial chapters review the main experimental findings and explore the mechanisms behind the impact of LSWI/EWI on oil recovery. The book then moves on to the critical area of modeling and simulation, discusses the geochemistry of LSWI/EWI processes, and applications of LSWI/EWI techniques in the field, including the authors' own recommendations based on their extensive experience. It is an essential reference for professional reservoir and field engineers, researchers and students working on LSWI/EWI and seeking to apply these methods for increased oil recovery. - Teaches users how to understand the various mechanisms contributing to incremental oil recovery using low salinity and engineering water injection (LSWI/EWI) in sandstones and carbonates - Balances guidance between designing laboratory experiments, to applying the LSWI/EWI techniques at both pilot-scale and full-field-scale for real-world operations - Presents state-of-the-art approaches to simulation and modeling of LSWI/EWI
Book Synopsis An Introduction to Reservoir Simulation Using MATLAB/GNU Octave by : Knut-Andreas Lie
Download or read book An Introduction to Reservoir Simulation Using MATLAB/GNU Octave written by Knut-Andreas Lie and published by Cambridge University Press. This book was released on 2019-08-08 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. This title is also available as Open Access on Cambridge Core.
Book Synopsis Enhanced Oil Recovery and Carbon Dioxide Sequestration in Zama Keg River F Pool by : Adal Al-Dliwe
Download or read book Enhanced Oil Recovery and Carbon Dioxide Sequestration in Zama Keg River F Pool written by Adal Al-Dliwe and published by . This book was released on 2005 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Carbon dioxide (CO2) injection is an effective and promising technology for enhanced oil recovery and for reducing anthropogenic gas emissions. In this process, CO2 develops miscibility with the oil under reservoir conditions and leads to additional oil recovery. Proper reservoir characterization has a significant influence on implementing a successful CO2 flood in a reservoir. Computer simulation is an important tool for reservoir characterization and predicting optimal tradeoffs between maximum oil recovery and CO2 storage. This thesis presents the results of reservoir characterization analysis and simulation in Zama Keg River F Pool located in Northern Alberta, Canada, which was selected as a candidate for CO2 injection. This reef has a thick oil column spanned over a small area and two wells drilled on the same side of the reef. Open-hole logs and core analysis data were available for only one of the two wells. Data analyses disclosed a number of challenges that could adversely affect the results of any simulation for predicting the performance of CO2 displacement in this field. These challenges included, but were not limited to, the existence of two no-flow barriers with unknown extensions, lack of other data such as relative permeability, and lack of information on lateral distribution of the reservoir properties. Material balance analysis indicated the maximum oil in place was 4.7 MMSTB with a weak water support. A fully compositional reservoir simulation model was used to improve the understanding of the reservoir characteristics, investigate the potential amount of CO2 stored, and study the effect of CO2 injection on oil recovery using different injection strategies. Effects of different operational parameters on pore scale displacement efficiency and the overall displacement efficiency were studied. These parameters include production and injection rates, injection gas composition, well completion, mode of injection, and the timing of injection. Results of this thsesi show that by using a combination of two vertical injectors and one horizontal producer, maximum incremental oil would be recovered while a large volume of CO2 would be stored, a high net utilization factor was obtained, and maximum NPV was generated as compared to other injection-production schemes.
Book Synopsis Development of a Multi-mechanistic Triple-porosity, Triple-permeability Compositional Model for Unconventional Reservoirs by : Nithiwat Siripatrachai
Download or read book Development of a Multi-mechanistic Triple-porosity, Triple-permeability Compositional Model for Unconventional Reservoirs written by Nithiwat Siripatrachai and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Most existing compositional reservoir simulators often model fractures using local grid refinement, unstructured-grid, or fine-grid models. Modeling different scales of fractures requires a large number of grid blocks to capture the heterogeneity of the formation. Using a large number of grid blocks presents computational challenges, even with todays powerful processors. An enhanced matrix permeability on the grid block that hosts short-scale fractures is commonly used to eliminate natural fractures and simplify the model. Additionally, several existing multi-porosity models may not be able to capture heterogeneity and flow behavior in different porosity domains. Sequential flow assumption is frequently made in their models. Flows between different porosity types are not fully coupled, and in some model, a simplified inter-porosity transmissibility function is used for any porosity pairs. The oil and gas reserves and flow of reservoir fluids are strongly dependent on phase behavior. Large capillary pressure values are encountered in tight formations such as tight-rocks and shales. The tiny pore throats in these formations result in large capillary pressure. The effect of capillary pressure in tight formations can significantly impact the fluid phase behaviors in the reservoir during production and enhanced oil recovery (EOR) processes. Not incorporating this effect into the simulation can result in an inaccurate estimation of ultimate recovery as well as inefficient design and implementation of EOR techniques. In spite of this, the effect of capillary pressure on phase behavior in tight reservoirs has not been well studied using compositional simulation, especially for hydraulically fractured reservoirs.In this research, a fully implicit, multi-mechanistic, fully coupled, triple-porosity, triple-permeability compositional model has been developed for unconventional reservoirs. The hydraulically fractured tight rock and shale reservoir is treated as a triple-porosity system consisting of matrix blocks, natural fractures (micro fractures), and hydraulic fractures (macro fractures). Small-scale fractures are handled by a dual-continuum model. An embedded discrete fracture model is used to effectively and efficiently capture the flow dynamics of hydraulic fractures at any orientations, honoring the complexity and heterogeneity of the fracture networks. The triple-porosity model enables us to assign reservoir properties corresponding to the porosity type. The flows in three porosity types are fully coupled without making the assumption of sequential flow. The inter-porosity fluid transfer honors the geometry of the intersecting porosity pair. The development of the proposed numerical model incorporates the effect of capillary pressure on phase behavior. The transport of hydrocarbon follows a multi-mechanistic flow mechanism that is driven by pressure and concentration fields. The simulator has been validated with analytical solutions and a commercial reservoir simulator for a single-porosity model and a dual-porosity, dual-permeability model, both with and without grid refinement. With the proposed model, we can accurately capture major physics of transport phenomena that have been done to date and have the most realistic modeling of fluid flow in hydraulically fractured tight rock and shale reservoirs. The simulator is used in parametric studies to investigate the production performance from hydraulically fractured reservoirs under different modeling techniques and the effect of capillary pressure on phase behavior on reserves and ultimate recovery. The simulator is used to study the impact of inter-porosity transport on the recovery and fluid transport and phase behavior in hydraulically fractured tight rocks and shale formations under high capillary pressure. The outcomes of this project are an improved understanding of phase behavior and fluid flow in hydraulically fractured shale and tight rocks and an increased accuracy of the production prediction and ultimate recovery.
