Data Analytics For Drilling Engineering

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Data Analytics for Drilling Engineering

Author : Qilong Xue
Publisher : Springer Nature
ISBN 13 : 303034035X
Total Pages : 312 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Data Analytics for Drilling Engineering by : Qilong Xue

Download or read book Data Analytics for Drilling Engineering written by Qilong Xue and published by Springer Nature. This book was released on 2019-12-30 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists.

Data Analytics in Reservoir Engineering

Author : Sathish Sankaran
Publisher :
ISBN 13 : 9781613998205
Total Pages : 108 pages
Book Rating : 4.9/5 (982 download)

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Book Synopsis Data Analytics in Reservoir Engineering by : Sathish Sankaran

Download or read book Data Analytics in Reservoir Engineering written by Sathish Sankaran and published by . This book was released on 2020-10-29 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.

Shale Analytics

Author : Shahab D. Mohaghegh
Publisher : Springer
ISBN 13 : 3319487531
Total Pages : 292 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Shale Analytics by : Shahab D. Mohaghegh

Download or read book Shale Analytics written by Shahab D. Mohaghegh and published by Springer. This book was released on 2017-02-09 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design. The flexibility and power of the technique is demonstrated in numerous real-world situations.

Machine Learning and Data Science in the Oil and Gas Industry

Author : Patrick Bangert
Publisher : Gulf Professional Publishing
ISBN 13 : 0128209143
Total Pages : 290 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning and Data Science in the Oil and Gas Industry by : Patrick Bangert

Download or read book Machine Learning and Data Science in the Oil and Gas Industry written by Patrick Bangert and published by Gulf Professional Publishing. This book was released on 2021-03-04 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful Gain practical understanding of machine learning used in oil and gas operations through contributed case studies Learn change management skills that will help gain confidence in pursuing the technology Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)

Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry

Author : Kingshuk Srivastava
Publisher : CRC Press
ISBN 13 : 1000995119
Total Pages : 187 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry by : Kingshuk Srivastava

Download or read book Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry written by Kingshuk Srivastava and published by CRC Press. This book was released on 2023-11-20 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies. Features: Provides an understanding of the basics of IT technologies applied in the oil and gas sector Includes deep comparison between different artificial intelligence techniques Analyzes different simulators in the oil and gas sector as well as discussion of AI applications Focuses on in-depth experimental and applied topics Details different case studies for upstream and downstream This book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.

Advanced Data Analytics for Optimized Drilling Operations Using Surface and Downhole Data

Author : Rahmat Ashari
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Advanced Data Analytics for Optimized Drilling Operations Using Surface and Downhole Data by : Rahmat Ashari

Download or read book Advanced Data Analytics for Optimized Drilling Operations Using Surface and Downhole Data written by Rahmat Ashari and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Minimizing well construction cost continues to be a dominant performance motivator for operators who rely on subsurface energy. Drilling optimization is a primary approach that drilling engineers use to lower costs, and this can be achieved by focusing on two goals: maximizing rate of penetration (ROP) and minimizing non-productive time (NPT). With the advances in sensors and computational technologies, data-driven approaches have become increasingly popular to achieve these goals. Nonetheless, experiences reveal that many operators underutilize the values that can be derived from their data. This research study develops data analytics approaches that incorporate surface and downhole data from drilling operations. In particular, two topics were studied in detail: connection recipes and bit damage tracking. The first topic aimed to develop an optimum approach to execute drillstring connections –i.e., the “connection recipes”– that yields a minimum level of vibrations so as to prevent downhole tool failures. The second topic specifically concerns drill bits, where the goal is to develop a workflow to track the state of bit damage in real time. An actionable outcome from such a workflow is the construction of a pull bit criterion, which serves as a guideline for drillers to decide whether a trip out is necessary. The data analytics workflows presented in this study will equip engineers with the capabilities to not only standardize connection-making practices to prevent downhole tools failures, but also optimize drilling performance by real-time bit damage monitoring that further helps lower NPT. For the connection recipes project, the data studied presented several unfavorable practices relating to surface rotational speed and weight on bit promoting the occurrences of stick-slip events, whirling, and shocks when going back to bottom and going off-bottom. Based on these observations, safer connection practices were identified. For the bit damage tracking project, bit wear and tooth wear metrics were computed. When applied on historical real-time drilling data, they revealed trip outs that were conducted either too early or too late. Based on several case studies, a bit pull criterion was subsequently developed. The two projects leveraged surface and downhole drilling data to produce insights and workflows that are deployable in real-time for drilling optimization

Methods for Petroleum Well Optimization

Author : Rasool Khosravanian
Publisher : Gulf Professional Publishing
ISBN 13 : 0323902324
Total Pages : 554 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Methods for Petroleum Well Optimization by : Rasool Khosravanian

Download or read book Methods for Petroleum Well Optimization written by Rasool Khosravanian and published by Gulf Professional Publishing. This book was released on 2021-09-22 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drilling and production wells are becoming more digitalized as oil and gas companies continue to implement machine learning andbig data solutions to save money on projects while reducing energy and emissions. Up to now there has not been one cohesiveresource that bridges the gap between theory and application, showing how to go from computer modeling to practical use. Methodsfor Petroleum Well Optimization: Automation and Data Solutions gives today’s engineers and researchers real-time data solutionsspecific to drilling and production assets. Structured for training, this reference covers key concepts and detailed approaches frommathematical to real-time data solutions through technological advances. Topics include digital well planning and construction,moving teams into Onshore Collaboration Centers, operations with the best machine learning (ML) and metaheuristic algorithms,complex trajectories for wellbore stability, real-time predictive analytics by data mining, optimum decision-making, and case-basedreasoning. Supported by practical case studies, and with references including links to open-source code and fit-for-use MATLAB, R,Julia, Python and other standard programming languages, Methods for Petroleum Well Optimization delivers a critical training guidefor researchers and oil and gas engineers to take scientifically based approaches to solving real field problems. Bridges the gap between theory and practice (from models to code) with content from the latest research developments supported by practical case study examples and questions at the end of each chapter Enables understanding of real-time data solutions and automation methods available specific to drilling and production wells, suchas digital well planning and construction through to automatic systems Promotes the use of open-source code which will help companies, engineers, and researchers develop their prediction and analysissoftware more quickly; this is especially appropriate in the application of multivariate techniques to the real-world problems of petroleum well optimization

Advanced Analytics in Mining Engineering

Author : Ali Soofastaei
Publisher : Springer Nature
ISBN 13 : 3030915891
Total Pages : 746 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advanced Analytics in Mining Engineering by : Ali Soofastaei

Download or read book Advanced Analytics in Mining Engineering written by Ali Soofastaei and published by Springer Nature. This book was released on 2022-02-23 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.

Applied Drilling Engineering

Author : Adam T. Bourgoyne
Publisher :
ISBN 13 :
Total Pages : 522 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Applied Drilling Engineering by : Adam T. Bourgoyne

Download or read book Applied Drilling Engineering written by Adam T. Bourgoyne and published by . This book was released on 1986 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Drilling Engineering presents engineering science fundamentals as well as examples of engineering applications involving those fundamentals.

Drilling Engineering Problems and Solutions

Author : M. E. Hossain
Publisher : John Wiley & Sons
ISBN 13 : 1118998723
Total Pages : 641 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Drilling Engineering Problems and Solutions by : M. E. Hossain

Download or read book Drilling Engineering Problems and Solutions written by M. E. Hossain and published by John Wiley & Sons. This book was released on 2018-06-27 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: Completely up to date and the most thorough and comprehensive reference work and learning tool available for drilling engineering, this groundbreaking volume is a must-have for anyone who works in drilling in the oil and gas sector. Petroleum and natural gas still remain the single biggest resource for energy on earth. Even as alternative and renewable sources are developed, petroleum and natural gas continue to be, by far, the most used and, if engineered properly, the most cost-effective and efficient, source of energy on the planet. Drilling engineering is one of the most important links in the energy chain, being, after all, the science of getting the resources out of the ground for processing. Without drilling engineering, there would be no gasoline, jet fuel, and the myriad of other "have to have" products that people use all over the world every day. Following up on their previous books, also available from Wiley-Scrivener, the authors, two of the most well-respected, prolific, and progressive drilling engineers in the industry, offer this groundbreaking volume. They cover the basic tenets of drilling engineering, the most common problems that the drilling engineer faces day to day, and cutting-edge new technology and processes through their unique lens. Written to reflect the new, changing world that we live in, this fascinating new volume offers a treasure of knowledge for the veteran engineer, new hire, or student. This book is an excellent resource for petroleum engineering students, reservoir engineers, supervisors & managers, researchers and environmental engineers for planning every aspect of rig operations in the most sustainable, environmentally responsible manner, using the most up-to-date technological advancements in equipment and processes.

Drilling Data Vortex

Author : Carlos Damski
Publisher : Genesis Publishing and Services Pty Limited
ISBN 13 : 9780994164209
Total Pages : 138 pages
Book Rating : 4.1/5 (642 download)

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Book Synopsis Drilling Data Vortex by : Carlos Damski

Download or read book Drilling Data Vortex written by Carlos Damski and published by Genesis Publishing and Services Pty Limited. This book was released on 2014-11-10 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's world, traditional methods of drilling oil wells don't work. Yesterday's practices are being superseded by a universal trend towards the extensive use of historical and real-time data to understand, learn and predict all well intervention operations. This book explores the impact of data analytics on well operations. Drawn from the author's extensive experience in data analysis, it examines, in easily understandable terms, today's data management processes. The book explores issues related to: Basic concepts of data management for drilling; Methods of using data as a basis for improving and optimizing process control; Achieving a common understanding of the issues involved among information technology personnel and field engineers; A roadmap for the implementation of a drilling process improvement system; Business Intelligence as the ultimate goal of any data management process; Discussions about data acquisition, quality control, storage, retrieval and analyses; Map intelligence; Understanding operational time and trouble analyses; learning curve, technical limit and benchmarking; Real business cases to illustrate the concepts explored in the book. The book is designed for a broad audience, including drilling personnel, managers, data analysts, and all professionals involved in the use of data to improve drilling operations.

Drilling and Completion in Petroleum Engineering

Author : Xinpu Shen
Publisher : CRC Press
ISBN 13 : 0415665272
Total Pages : 258 pages
Book Rating : 4.4/5 (156 download)

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Book Synopsis Drilling and Completion in Petroleum Engineering by : Xinpu Shen

Download or read book Drilling and Completion in Petroleum Engineering written by Xinpu Shen and published by CRC Press. This book was released on 2011-10-19 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern petroleum and petrotechnical engineering is increasingly challenging due to the inherently scarce and decreasing number of global petroleum resources. Exploiting these resources efficiently will require researchers, scientists, engineers and other practitioners to develop innovative mathematical solutions to serve as basis for new asset development designs. Deploying these systems in numerical models is essential to the future success and efficiency of the petroleum industry. Multiphysics modeling has been widely applied in the petroleum industry since the 1960s. The rapid development of computer technology has enabled the numerical applications of multiphysics modeling in the petroleum industry: its applications are particularly popular for the numerical simulation of drilling and completion processes. This book covers theory and numerical applications of multiphysical modeling presenting various author-developed subroutines, used to address complex pore pressure input, complex initial geo-stress field input, etc. Some innovative methods in drilling and completion developed by the authors, such as trajectory optimization and a 3-dimensional workflow for calculation of mud weight window etc, are also presented. Detailed explanations are provided for the modeling process of each application example included in the book. In addition, details of the completed numerical models data are presented as supporting material which can be downloaded from the website of the publisher. Readers can easily understand key modeling techniques with the theory of multiphysics embedded in examples of applications,and can use the data to reproduce the results presented. While this book would be of interest to any student, academic or professional practitioner of engineering, mathematics and natural science, we believe those professionals and academics working in civil engineering, petroleum engineering and petroleum geomechanics would find the work especially relevant to their endeavors.

Fundamentals of Drilling Engineering

Author : M. E. Hossain
Publisher : John Wiley & Sons
ISBN 13 : 1119084083
Total Pages : 736 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Fundamentals of Drilling Engineering by : M. E. Hossain

Download or read book Fundamentals of Drilling Engineering written by M. E. Hossain and published by John Wiley & Sons. This book was released on 2016-11-11 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book clearly explains the concepts of the drilling engineering and presents the existing knowledge ranging from the history of drilling technology to well completion. This textbook takes on the difficult issue of sustainability in drilling engineering and tries to present the engineering terminologies in a clear manner so that the new hire, as well as the veteran driller, will be able to understand the drilling concepts with minimum effort.

Machine Learning Guide for Oil and Gas Using Python

Author : Hoss Belyadi
Publisher : Gulf Professional Publishing
ISBN 13 : 0128219300
Total Pages : 478 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning Guide for Oil and Gas Using Python by : Hoss Belyadi

Download or read book Machine Learning Guide for Oil and Gas Using Python written by Hoss Belyadi and published by Gulf Professional Publishing. This book was released on 2021-04-09 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. Helps readers understand how open-source Python can be utilized in practical oil and gas challenges Covers the most commonly used algorithms for both supervised and unsupervised learning Presents a balanced approach of both theory and practicality while progressing from introductory to advanced analytical techniques

Applications of Artificial Intelligence Techniques in the Petroleum Industry

Author : Abdolhossein Hemmati-Sarapardeh
Publisher : Gulf Professional Publishing
ISBN 13 : 0128223855
Total Pages : 324 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Artificial Intelligence Techniques in the Petroleum Industry by : Abdolhossein Hemmati-Sarapardeh

Download or read book Applications of Artificial Intelligence Techniques in the Petroleum Industry written by Abdolhossein Hemmati-Sarapardeh and published by Gulf Professional Publishing. This book was released on 2020-08-26 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input

Data-Driven Analytics for the Geological Storage of CO2

Author : Shahab Mohaghegh
Publisher : CRC Press
ISBN 13 : 1315280795
Total Pages : 308 pages
Book Rating : 4.3/5 (152 download)

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Book Synopsis Data-Driven Analytics for the Geological Storage of CO2 by : Shahab Mohaghegh

Download or read book Data-Driven Analytics for the Geological Storage of CO2 written by Shahab Mohaghegh and published by CRC Press. This book was released on 2018-05-20 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven analytics is enjoying unprecedented popularity among oil and gas professionals. Many reservoir engineering problems associated with geological storage of CO2 require the development of numerical reservoir simulation models. This book is the first to examine the contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers and depleted gas and oil reservoirs. Drawing from actual case studies, this book demonstrates how smart proxy models can be developed for complex numerical reservoir simulation models. Smart proxy incorporates pattern recognition capabilities of artificial intelligence and machine learning to build smart models that learn the intricacies of physical, mechanical and chemical interactions using precise numerical simulations. This ground breaking technology makes it possible and practical to use high fidelity, complex numerical reservoir simulation models in the design, analysis and optimization of carbon storage in geological formations projects.

Data Analytics Applied to the Mining Industry

Author : Ali Soofastaei
Publisher : CRC Press
ISBN 13 : 0429781776
Total Pages : 273 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Data Analytics Applied to the Mining Industry by : Ali Soofastaei

Download or read book Data Analytics Applied to the Mining Industry written by Ali Soofastaei and published by CRC Press. This book was released on 2020-11-12 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation centers, autonomous equipment and the opportunities offered by the industrial internet of things. It provides guidelines on how data needs to be collected, stored and managed to enable the different advanced data analytics methods to be applied effectively in practice, through use of case studies, and worked examples. Aimed at graduate students, researchers, and professionals in the industry of mining engineering, this book: Explains how to implement advanced data analytics through case studies and examples in mining engineering Provides approaches and methods to improve data-driven decision making Explains a concise overview of the state of the art for Mining Executives and Managers Highlights and describes critical opportunity areas for mining optimization Brings experience and learning in digital transformation from adjacent sectors