A Data Estimation Based Approach For Quasi Continuous Seismic Reservoir Monitoring

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A Data-estimation-based Approach for Quasi-continuous Seismic Reservoir Monitoring

Author : Adeyemi Temitope Arogunmati
Publisher : Stanford University
ISBN 13 :
Total Pages : 218 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis A Data-estimation-based Approach for Quasi-continuous Seismic Reservoir Monitoring by : Adeyemi Temitope Arogunmati

Download or read book A Data-estimation-based Approach for Quasi-continuous Seismic Reservoir Monitoring written by Adeyemi Temitope Arogunmati and published by Stanford University. This book was released on 2011 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current strategies and logistics for seismic data acquisition impose restrictions on the calendar-time temporal resolution obtainable for a given time-lapse monitoring program. One factor that restricts the implementation of a quasi-continuous monitoring program using conventional strategies is the time it takes to acquire a complete survey. Here quasi-continuous monitoring describes the process of reservoir monitoring at short time intervals. This dissertation describes an approach that circumvents the restriction by requiring only a subset of a complete survey data each time an image of the reservoir is needed. Ideally, the time interval between survey subset acquisitions should be short so that changes in the reservoir properties are small. The accumulated data acquired are used to estimate the unavailable data at the monitor survey time, and the combined known and estimated data are used to produce an image of the subsurface for monitoring. Quasi-continuous seismic monitoring can be used to monitor geologic reservoirs during the injection phase of a carbon dioxide sequestration project. It can also be used to monitor reservoir changes between injector and producer wells during the secondary recovery phase in an oil field. The primary advantage of a quasi-continuous monitoring strategy over the conventional strategy is the high temporal resolution of the reservoir changes obtainable. Naturally, the spatial resolution of the image obtained using a subset of the data from a full survey will be worse than the spatial resolution of the image obtained using the complete data from a full survey. However, if the unavailable data are estimated perfectly, the spatial resolution is not lost. The choice of estimation algorithm and the size of the known data play an important role in the success of the approach presented in this dissertation.

A Data-estimation-based Approach for Quasi-continuous Seismic Reservoir Monitoring

Author : Adeyemi Temitope Arogunmati
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (711 download)

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Book Synopsis A Data-estimation-based Approach for Quasi-continuous Seismic Reservoir Monitoring by : Adeyemi Temitope Arogunmati

Download or read book A Data-estimation-based Approach for Quasi-continuous Seismic Reservoir Monitoring written by Adeyemi Temitope Arogunmati and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Current strategies and logistics for seismic data acquisition impose restrictions on the calendar-time temporal resolution obtainable for a given time-lapse monitoring program. One factor that restricts the implementation of a quasi-continuous monitoring program using conventional strategies is the time it takes to acquire a complete survey. Here quasi-continuous monitoring describes the process of reservoir monitoring at short time intervals. This dissertation describes an approach that circumvents the restriction by requiring only a subset of a complete survey data each time an image of the reservoir is needed. Ideally, the time interval between survey subset acquisitions should be short so that changes in the reservoir properties are small. The accumulated data acquired are used to estimate the unavailable data at the monitor survey time, and the combined known and estimated data are used to produce an image of the subsurface for monitoring. Quasi-continuous seismic monitoring can be used to monitor geologic reservoirs during the injection phase of a carbon dioxide sequestration project. It can also be used to monitor reservoir changes between injector and producer wells during the secondary recovery phase in an oil field. The primary advantage of a quasi-continuous monitoring strategy over the conventional strategy is the high temporal resolution of the reservoir changes obtainable. Naturally, the spatial resolution of the image obtained using a subset of the data from a full survey will be worse than the spatial resolution of the image obtained using the complete data from a full survey. However, if the unavailable data are estimated perfectly, the spatial resolution is not lost. The choice of estimation algorithm and the size of the known data play an important role in the success of the approach presented in this dissertation.

Seismic Reservoir Modeling

Author : Dario Grana
Publisher : John Wiley & Sons
ISBN 13 : 1119086205
Total Pages : 256 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Seismic Reservoir Modeling by : Dario Grana

Download or read book Seismic Reservoir Modeling written by Dario Grana and published by John Wiley & Sons. This book was released on 2021-05-04 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid properties, including elastic and petrophysical variables, to describe and monitor the state of the subsurface for hydrocarbon exploration and production and for CO2 sequestration. Rock physics modeling and seismic wave propagation theory provide a set of physical equations to predict the seismic response of subsurface rocks based on their elastic and petrophysical properties. However, the rock and fluid properties are generally unknown and surface geophysical measurements are often the only available data to constrain reservoir models far away from well control. Therefore, reservoir properties are generally estimated from geophysical data as a solution of an inverse problem, by combining rock physics and seismic models with inverse theory and geostatistical methods, in the context of the geological modeling of the subsurface. A probabilistic approach to the inverse problem provides the probability distribution of rock and fluid properties given the measured geophysical data and allows quantifying the uncertainty of the predicted results. The reservoir characterization problem includes both discrete properties, such as facies or rock types, and continuous properties, such as porosity, mineral volumes, fluid saturations, seismic velocities and density. Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO2 sequestration studies.

Subsurface Fluid Flow and Imaging

Author : Donald Wyman Vasco
Publisher : Cambridge University Press
ISBN 13 : 1316577945
Total Pages : 381 pages
Book Rating : 4.3/5 (165 download)

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Book Synopsis Subsurface Fluid Flow and Imaging by : Donald Wyman Vasco

Download or read book Subsurface Fluid Flow and Imaging written by Donald Wyman Vasco and published by Cambridge University Press. This book was released on 2016-07-21 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces methodologies for subsurface imaging based upon asymptotic and trajectory-based methods for modeling fluid flow, transport and deformation. It describes trajectory-based imaging from its mathematical formulation, through the construction and solution of the imaging equations, to the assessment of the accuracy and resolution associated with the image. Unique in its approach, it provides a unified framework for the complete spectrum of physical phenomena from wave-like hyperbolic problems to diffusive parabolic problems and non-linear problems of mixed character. The practical aspects of imaging, particularly efficient and robust methods for updating high resolution geologic models using fluid flow, transport and geophysical data, are emphasized throughout the book. Complete with online software applications and examples that enable readers to gain hands-on experience, this volume is an invaluable resource for graduate-level courses, as well as for academic researchers and industry practitioners in the fields of geoscience, hydrology, and petroleum and environmental engineering.

Optimal Seismic Deconvolution

Author : Jerry M. Mendel
Publisher :
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Optimal Seismic Deconvolution by : Jerry M. Mendel

Download or read book Optimal Seismic Deconvolution written by Jerry M. Mendel and published by . This book was released on 1983 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Seismic Deconvolution: An Estimation-Based Approach presents an approach to the problem of seismic deconvolution. It is meant for two different audiences: practitioners of recursive estimation theory and geophysical signal processors. The book opens with a chapter on elements of minimum-variance estimation that are essential for all later developments. Included is a derivation of the Kaiman filter and discussions of prediction and smoothing. Separate chapters follow on minimum-variance deconvolution; maximum-likelihood and maximum a posteriori estimation methods; the philosophy of maxi.

Time Lapse Approach to Monitoring Oil, Gas, and CO2 Storage by Seismic Methods

Author : Junzo Kasahara
Publisher : Gulf Professional Publishing
ISBN 13 : 0128036095
Total Pages : 218 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Time Lapse Approach to Monitoring Oil, Gas, and CO2 Storage by Seismic Methods by : Junzo Kasahara

Download or read book Time Lapse Approach to Monitoring Oil, Gas, and CO2 Storage by Seismic Methods written by Junzo Kasahara and published by Gulf Professional Publishing. This book was released on 2016-10-14 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time Lapse Approach to Monitoring Oil, Gas, and CO2 Storage by Seismic Methods delivers a new technology to geoscientists, well logging experts, and reservoir engineers, giving them a new basis on which to influence decisions on oil and gas reservoir management. Named ACROSS (Accurately Controlled and Routinely Operated Signal System), this new evaluation method is presented to address more complex reservoirs, such as shale and heavy oil. The book also discusses prolonged production methods for enhanced oil recovery. The monitoring of storage zones for carbon capture are also included, all helping the petroleum and reservoir engineer to fully extend the life of a field and locate untapped pockets of additional oil and gas resources. Rounded out with case studies from locations such as Japan, Saudi Arabia, and Canada, this book will help readers, scientists, and engineers alike to better manage the life of their oil and gas resources and reservoirs. Benefits both geoscientists and reservoir engineers to optimize complex reservoirs such as shale and heavy oil Explains a more accurate and cost efficient reservoir monitoring technology called ACROSS (Accurately Controlled and Routinely Operated Signal System) Illustrates real-world application through multiple case studies from around the world

Insights and Methods for 4D Reservoir Monitoring and Characterization

Author : Rodney Calvert
Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Insights and Methods for 4D Reservoir Monitoring and Characterization by : Rodney Calvert

Download or read book Insights and Methods for 4D Reservoir Monitoring and Characterization written by Rodney Calvert and published by . This book was released on 2005 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covers the application and impact of 4D monitoring for the oil and gas industry, along with requirements, modelling, and acquisition techniques to ensure good data acquisition and use in diagnosing reservoir production effects and updating reservoir simulation models; key lessons on measuring small production differences are highlighted.

Joint Integration of Time-lapse Seismic, Electromagnetic and Production Data for Reservoir Monitoring and Management

Author : Jaehoon Lee
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (919 download)

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Book Synopsis Joint Integration of Time-lapse Seismic, Electromagnetic and Production Data for Reservoir Monitoring and Management by : Jaehoon Lee

Download or read book Joint Integration of Time-lapse Seismic, Electromagnetic and Production Data for Reservoir Monitoring and Management written by Jaehoon Lee and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Joint integration of time-lapse seismic, time-lapse electromagnetic, and production data can provide a powerful means of characterizing and monitoring reservoirs. Those data contain complementary information about the changes in the reservoir during operation, and, thus, their proper integration can lead to more reliable forecasts and optimal decisions in reservoir management. This dissertation focuses on developing workflows to jointly integrate time-lapse seismic, electromagnetic, and production data because this task is significantly time-consuming and very challenging. The first part of the thesis addresses a quick and efficient method, which can provide a tool for locating the changes in the reservoir and assessing the uncertainty associated with the estimation quantitatively. The developed workflow, termed statistical integration workflow, utilizes well logs to link reservoir properties with seismic and electromagnetic data by building the joint probability distribution. A new upscaling method from well logs to the scales of seismic and electromagnetic measurements is established using multiple-point geostatistical simulation. The statistical integration workflow is applied to facies classification and the detection of depleted regions. Stochastic optimization is also investigated in this dissertation. As the joint optimization of time-lapse seismic, electromagnetic, and production data requires a huge amount of computational time, we formulate a new algorithm, the probabilistic particle swarm optimization (Pro-PSO). This algorithm is designed to alleviate the time-consuming job by parallel computations of multiple candidate models and the improvement of models based on information sharing. More importantly, any probabilistic priors, such as geological information, can be incorporated into the algorithm. Applications are investigated for a synthetic example of seismic inversion and flow history matching of a Gaussian porosity field, parameterized by its spatial principal components. The result validates the effectiveness of Pro-PSO as compared with conventional PSO. Another version of Pro-PSO for discrete parameters, called Pro-DPSO, is also developed where particles (candidate models) move in the probability mass function space instead of the parameter space. Then, Pro-DPSO is hybridized with a multiple-point geostatistical algorithm, the single normal equation algorithm (SNESIM) to preserve non-Gaussian geological features. This hybridized algorithm (Pro-DPSO-SNESIM) is evaluated on a synthetic example of seismic inversion and compared with a Markov chain Monte Carlo (MCMC) optimization method. The algorithms Pro-DPSO and Pro-DPSO-SNESIM provide not only optimized models but also optimized probability mass functions (pmf) of parameters. Therefore, it also presents the variations of realizations sampled from the optimized pmfs. Lastly, we introduce the specialization workflow of Pro-PSO algorithms for the joint integration of time-lapse seismic, time-lapse electromagnetic, and production data. In this workflow, the particles of Pro-PSO are divided into several groups, and each group is specialized in the evaluation of a particular type of data misfit. Dividing up the objective function components among different groups of particles allows the algorithm to take advantage of situations where different forward simulators for each type of data require very different computational times per iteration. The optimization is implemented by sharing multiple best models from each type of data misfit, not by sharing a single best model based on the sum (or other combinations) of all the misfits. The "divide-and-conquer" workflow is evaluated on two synthetic cases of joint integration showing that it is much more efficient than an equivalent conventional workflow minimizing an integrated objective function.

An Integrated Seismic and Well Log Analysis for the Estimation of Reservoir Properties

Author : Muhammad M. Saggaf
Publisher :
ISBN 13 :
Total Pages : 399 pages
Book Rating : 4.:/5 (486 download)

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Book Synopsis An Integrated Seismic and Well Log Analysis for the Estimation of Reservoir Properties by : Muhammad M. Saggaf

Download or read book An Integrated Seismic and Well Log Analysis for the Estimation of Reservoir Properties written by Muhammad M. Saggaf and published by . This book was released on 2000 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Reservoir Characterization and History Matching with Uncertainty Quantification Using Ensemble-based Data Assimilation with Data Re-parameterization

Download Reservoir Characterization and History Matching with Uncertainty Quantification Using Ensemble-based Data Assimilation with Data Re-parameterization PDF Online Free

Author : Mingliang Liu
Publisher :
ISBN 13 :
Total Pages : 153 pages
Book Rating : 4.7/5 (386 download)

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Book Synopsis Reservoir Characterization and History Matching with Uncertainty Quantification Using Ensemble-based Data Assimilation with Data Re-parameterization by : Mingliang Liu

Download or read book Reservoir Characterization and History Matching with Uncertainty Quantification Using Ensemble-based Data Assimilation with Data Re-parameterization written by Mingliang Liu and published by . This book was released on 2021 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reservoir characterization and history matching are essential steps in various subsurface applications, such as petroleum exploration and production and geological carbon sequestration, aiming to estimate the rock and fluid properties of the subsurface from geophysical measurements and borehole data. Mathematically, both tasks can be formulated as inverse problems, which attempt to find optimal earth models that are consistent with the true measurements. The objective of this dissertation is to develop a stochastic inversion method to improve the accuracy of predicted reservoir properties as well as quantification of the associated uncertainty by assimilating both the surface geophysical observations and the production data from borehole using Ensemble Smoother with Multiple Data Assimilation. To avoid the common phenomenon of ensemble collapse in which the model uncertainty would be underestimated, we propose to re-parameterize the high-dimensional geophysics data with data order reduction methods, for example, singular value decomposition and deep convolutional autoencoder, and then perform the models updating efficiently in the low-dimensional data space. We first apply the method to seismic and rock physics inversion for the joint estimation of elastic and petrophysical properties from the pre-stack seismic data. In the production or monitoring stage, we extend the proposed method to seismic history matching for the prediction of porosity and permeability models by integrating both the time-lapse seismic and production data. The proposed method is tested on synthetic examples and successfully applied in petroleum exploration and production and carbon dioxide sequestration.

Petroleum Abstracts

Author :
Publisher :
ISBN 13 :
Total Pages : 996 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Petroleum Abstracts by :

Download or read book Petroleum Abstracts written by and published by . This book was released on 1992 with total page 996 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied mechanics reviews

Author :
Publisher :
ISBN 13 :
Total Pages : 400 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis Applied mechanics reviews by :

Download or read book Applied mechanics reviews written by and published by . This book was released on 1948 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Detection of Production-induced Time-lapse Signatures by Geophysical (seismic and CSEM) Measurements

Author : Alireza Shahin
Publisher :
ISBN 13 :
Total Pages : 464 pages
Book Rating : 4.:/5 (732 download)

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Book Synopsis Detection of Production-induced Time-lapse Signatures by Geophysical (seismic and CSEM) Measurements by : Alireza Shahin

Download or read book Detection of Production-induced Time-lapse Signatures by Geophysical (seismic and CSEM) Measurements written by Alireza Shahin and published by . This book was released on 2011 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: While geophysical reservoir characterization has been an area of research for the last three decades, geophysical reservoir monitoring, time-lapse studies, have recently become an important geophysical application. Generally speaking, the main target is to detect, estimate, and discriminate the changes in subsurface rock properties due to production. This research develops various sensitivity and feasibility analyses to investigate the effects of production-induced time-lapse changes on geophysical measurements including seismic and controlled-source electromagnetic (CSEM) data. For doing so, a realistic reservoir model is numerically simulated based on a prograding near-shore sandstone reservoir. To account for the spatial distribution of petrophysical properties, an effective porosity model is first simulated by Gaussian geostatistics. Dispersed clay and dual water models are then efficiently combined with other well-known theoretical and experimental petrophysical correlations to consistently simulate reservoir model parameters. Next, the constructed reservoir model is subjected to numerical simulation of multi-phase fluid flow to replicate a waterflooding scenario of a black oil reservoir and to predict the spatial distributions of fluid pressure and saturation. A modified Archie's equation for shaly sandstones is utilized to simulate rock resistivity. Finally, a geologically consistent stress-sensitive rock physics model, combined with the modified Gassmann theory for shaly sandstones, is utilized to simulate seismic elastic parameters. As a result, the comprehensive petro-electro-elastic model developed in this dissertation can be efficiently utilized in sensitivity and feasibility analyses of seismic/CSEM data with respect to petrophysical properties and, ultimately, applied to reservoir characterization and monitoring research. Using the resistivity models, a base and two monitor time-lapse CSEM surveys are simulated via accurate numerical algorithms. 2.5D CSEM modeling demonstrates that a detectable time-lapse signal after 5 years and a strong time-lapse signal after 10 years of waterflooding are attainable with the careful application of currently available CSEM technology. To simulate seismic waves, I employ different seismic modeling algorithms, one-dimensional (1D) acoustic and elastic ray tracing, 1D full elastic reflectivity, 2D split-step Fourier plane-wave (SFPW), and 2D stagger grid explicit finite difference (FD). My analyses demonstrate that acoustic modeling of an elastic medium is a good approximation up to ray parameter (p) equal to 0.2 sec/km. However, at p=0.3 sec/km, differences between elastic and acoustic wave propagation is the more dominant effect compared to internal multiples. Here, converted waves are also generated with significant amplitudes compared to primaries and internal multiples. I also show that time-lapse modeling of the reservoir using SFPW approach is very fast compared to FD, 100 times faster for my case here. It is capable of handling higher frequencies than FD. It provides an accurate image of the waterflooding process comparable to FD. Consequently, it is a powerful alternative for time-lapse seismic modeling. I conclude that both seismic and CSEM data have adequate but different sensitivities to changes in reservoir properties and therefore have the potential to quantitatively map production-induced time-lapse changes.

Carbonate Reservoir Characterization Based on Integration of 3-D Seismic Data and Well Logs Using Conventional and Artificial Intelligence Approaches

Download Carbonate Reservoir Characterization Based on Integration of 3-D Seismic Data and Well Logs Using Conventional and Artificial Intelligence Approaches PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (93 download)

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Book Synopsis Carbonate Reservoir Characterization Based on Integration of 3-D Seismic Data and Well Logs Using Conventional and Artificial Intelligence Approaches by :

Download or read book Carbonate Reservoir Characterization Based on Integration of 3-D Seismic Data and Well Logs Using Conventional and Artificial Intelligence Approaches written by and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analysis of Continuous Monitoring Data and Rapid, Stochastic Updating of Reservoir Models

Author : Shinta Tjahyaningtyas Reinlie
Publisher :
ISBN 13 :
Total Pages : 330 pages
Book Rating : 4.:/5 (85 download)

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Book Synopsis Analysis of Continuous Monitoring Data and Rapid, Stochastic Updating of Reservoir Models by : Shinta Tjahyaningtyas Reinlie

Download or read book Analysis of Continuous Monitoring Data and Rapid, Stochastic Updating of Reservoir Models written by Shinta Tjahyaningtyas Reinlie and published by . This book was released on 2006 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings ... SPE Annual Technical Conference and Exhibition

Author : Society of Petroleum Engineers (U.S.). Technical Conference and Exhibition
Publisher :
ISBN 13 :
Total Pages : 956 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Proceedings ... SPE Annual Technical Conference and Exhibition by : Society of Petroleum Engineers (U.S.). Technical Conference and Exhibition

Download or read book Proceedings ... SPE Annual Technical Conference and Exhibition written by Society of Petroleum Engineers (U.S.). Technical Conference and Exhibition and published by . This book was released on 1996 with total page 956 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Seismic Data Analysis

Author : Özdoğan Yilmaz
Publisher : SEG Books
ISBN 13 : 1560800941
Total Pages : 2065 pages
Book Rating : 4.5/5 (68 download)

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Book Synopsis Seismic Data Analysis by : Özdoğan Yilmaz

Download or read book Seismic Data Analysis written by Özdoğan Yilmaz and published by SEG Books. This book was released on 2001 with total page 2065 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expanding the author's original work on processing to include inversion and interpretation, and including developments in all aspects of conventional processing, this two-volume set is a comprehensive and complete coverage of the modern trends in the seismic industry - from time to depth, from 3D to 4D, from 4D to 4C, and from isotropy to anisotropy.