Author: Djebbar Tiab
Publisher: Elsevier
ISBN: 044326497X
Category : Technology & Engineering
Languages : en
Pages : 1074
Book Description
Pressure Transient Analysis: Pressure Derivative provides focuses on applications of pressure and derivative data for interpretation of pressure transient tests, offering alternatives to costly commercial software. Building from basics, this practical text spans: wells near single and multi-boundary systems, hydraulically fractured wells, naturally fractured reservoirs, interpretation of interference and pulse tests, gas well test analysis (including sources of emissions and decarbonizing strategies, geological sequestration, CCS risks and stress on CCS), multiphase flow, injectivity and falloff tests, rate transient and multi-rate tests, partially penetrated / perforated vertical and slanted wells, and horizontal wells in conventional and unconventional reservoirs.Many techniques and equations presented in this book can be found in the black box of commercial well-test analysis software packages – this practical text unlocks, unpacks, and makes critical, analytical tools accessible to core users. - Delivers an alternative technique to type-curve matching using the loglog analysis - Introduces simple analytical equations used in the step-by-step procedure for analyzing pressure transient tests - Presents common cases encountered by practicing engineers inspired by a robust literature review, boasting over 500 diverse, global sources - Includes (75) solved simulated exercises and field cases, along with (81) unsolved problems (simulated and field cases) to reinforce learning - Supports sustainability and the reduction of carbon emissions by addressing carbon footprints, emissions sources and decarbonizing strategies, carbon capture, storage, and CO2 storage
Pressure Transient Analysis
Author: Djebbar Tiab
Publisher: Elsevier
ISBN: 044326497X
Category : Technology & Engineering
Languages : en
Pages : 1074
Book Description
Pressure Transient Analysis: Pressure Derivative provides focuses on applications of pressure and derivative data for interpretation of pressure transient tests, offering alternatives to costly commercial software. Building from basics, this practical text spans: wells near single and multi-boundary systems, hydraulically fractured wells, naturally fractured reservoirs, interpretation of interference and pulse tests, gas well test analysis (including sources of emissions and decarbonizing strategies, geological sequestration, CCS risks and stress on CCS), multiphase flow, injectivity and falloff tests, rate transient and multi-rate tests, partially penetrated / perforated vertical and slanted wells, and horizontal wells in conventional and unconventional reservoirs.Many techniques and equations presented in this book can be found in the black box of commercial well-test analysis software packages – this practical text unlocks, unpacks, and makes critical, analytical tools accessible to core users. - Delivers an alternative technique to type-curve matching using the loglog analysis - Introduces simple analytical equations used in the step-by-step procedure for analyzing pressure transient tests - Presents common cases encountered by practicing engineers inspired by a robust literature review, boasting over 500 diverse, global sources - Includes (75) solved simulated exercises and field cases, along with (81) unsolved problems (simulated and field cases) to reinforce learning - Supports sustainability and the reduction of carbon emissions by addressing carbon footprints, emissions sources and decarbonizing strategies, carbon capture, storage, and CO2 storage
Publisher: Elsevier
ISBN: 044326497X
Category : Technology & Engineering
Languages : en
Pages : 1074
Book Description
Pressure Transient Analysis: Pressure Derivative provides focuses on applications of pressure and derivative data for interpretation of pressure transient tests, offering alternatives to costly commercial software. Building from basics, this practical text spans: wells near single and multi-boundary systems, hydraulically fractured wells, naturally fractured reservoirs, interpretation of interference and pulse tests, gas well test analysis (including sources of emissions and decarbonizing strategies, geological sequestration, CCS risks and stress on CCS), multiphase flow, injectivity and falloff tests, rate transient and multi-rate tests, partially penetrated / perforated vertical and slanted wells, and horizontal wells in conventional and unconventional reservoirs.Many techniques and equations presented in this book can be found in the black box of commercial well-test analysis software packages – this practical text unlocks, unpacks, and makes critical, analytical tools accessible to core users. - Delivers an alternative technique to type-curve matching using the loglog analysis - Introduces simple analytical equations used in the step-by-step procedure for analyzing pressure transient tests - Presents common cases encountered by practicing engineers inspired by a robust literature review, boasting over 500 diverse, global sources - Includes (75) solved simulated exercises and field cases, along with (81) unsolved problems (simulated and field cases) to reinforce learning - Supports sustainability and the reduction of carbon emissions by addressing carbon footprints, emissions sources and decarbonizing strategies, carbon capture, storage, and CO2 storage
Proceedings ... SPE Annual Technical Conference and Exhibition
Author: Society of Petroleum Engineers (U.S.). Technical Conference and Exhibition
Publisher:
ISBN:
Category : Petroleum
Languages : en
Pages : 994
Book Description
Publisher:
ISBN:
Category : Petroleum
Languages : en
Pages : 994
Book Description
Innovations in Enhanced and Improved Oil Recovery - New Advances
Author: Mansoor Zoveidavianpoor
Publisher: BoD – Books on Demand
ISBN: 0854661972
Category : Technology & Engineering
Languages : en
Pages : 196
Book Description
This book navigates the evolving landscape of Enhanced Oil Recovery (EOR) and Improved Oil Recovery (IOR), covering diverse topics such as lithological dynamics in CO2-EOR, the impact of asphaltene precipitation in WAG implementation, progress in CO2-EOR and storage technology, in situ foam generation for unconventional fractured reservoirs, electromagnetic radiation effects on heavy oil upgrading, advancements in hydraulic fracturing, in situ synthesis of nanoparticles, and operational insights in the Bakken Shale. This comprehensive volume serves as an indispensable resource for professionals and researchers in the ever-changing field of enhanced and improved oil recovery.
Publisher: BoD – Books on Demand
ISBN: 0854661972
Category : Technology & Engineering
Languages : en
Pages : 196
Book Description
This book navigates the evolving landscape of Enhanced Oil Recovery (EOR) and Improved Oil Recovery (IOR), covering diverse topics such as lithological dynamics in CO2-EOR, the impact of asphaltene precipitation in WAG implementation, progress in CO2-EOR and storage technology, in situ foam generation for unconventional fractured reservoirs, electromagnetic radiation effects on heavy oil upgrading, advancements in hydraulic fracturing, in situ synthesis of nanoparticles, and operational insights in the Bakken Shale. This comprehensive volume serves as an indispensable resource for professionals and researchers in the ever-changing field of enhanced and improved oil recovery.
Proceedings of the International Field Exploration and Development Conference 2023
Author: Jia’en Lin
Publisher: Springer Nature
ISBN: 9819702569
Category :
Languages : en
Pages : 1421
Book Description
Publisher: Springer Nature
ISBN: 9819702569
Category :
Languages : en
Pages : 1421
Book Description
Hydraulic fracture geometry characterization based on distributed fiber optic strain measurements
Author: Kan Wu
Publisher: Elsevier
ISBN: 0323953611
Category : Technology & Engineering
Languages : en
Pages : 296
Book Description
Fiber optic-based measurements are innovative tools for the oil and gas industry to utilize in monitoring wells in a variety of applications including geothermal activity. Monitoring unconventional reservoirs is still challenging due to complex subsurface conditions and current research focuses on qualitative interpretation of field data. Hydraulic Fracture Geometry Characterization from Fiber Optic-Based Strain Measurements delivers a critical reference for reservoir and completion engineers to better quantify the propagation process and evolution of fracture geometry with a forward model and novel inversion model. The reference reviews different fiber optic-based temperature, acoustic, and strain measurements for monitoring fracture behaviors and includes advantages and limitations of each measurement, giving engineers a better understanding of measurements applied in all types of subsurface formations. Stress/strain rate responses on rock deformation are given a holistic approach, including guidelines and an automatic algorithm for identification of fracture hits. Last, a novel inversion model is introduced to show how fracture geometry can be used for optimization on well placement decisions. Supported by case studies, Hydraulic Fracture Geometry Characterization from Fiber Optic-Based Strain Measurements gives today's engineers better understanding of all complex subsurface measurements through fiber optic technology. - Examine the basics of distributed fiber optic strain measurements - Conduct a detailed analysis of strain responses observed in both horizontal and vertical monitoring wells - Present a systematic approach for interpreting strain data measured in the field - Highlight the significant insights and values that can be derived from the field measured strain dataset - Support monitoring and modeling for subsurface energy extraction and safe storage
Publisher: Elsevier
ISBN: 0323953611
Category : Technology & Engineering
Languages : en
Pages : 296
Book Description
Fiber optic-based measurements are innovative tools for the oil and gas industry to utilize in monitoring wells in a variety of applications including geothermal activity. Monitoring unconventional reservoirs is still challenging due to complex subsurface conditions and current research focuses on qualitative interpretation of field data. Hydraulic Fracture Geometry Characterization from Fiber Optic-Based Strain Measurements delivers a critical reference for reservoir and completion engineers to better quantify the propagation process and evolution of fracture geometry with a forward model and novel inversion model. The reference reviews different fiber optic-based temperature, acoustic, and strain measurements for monitoring fracture behaviors and includes advantages and limitations of each measurement, giving engineers a better understanding of measurements applied in all types of subsurface formations. Stress/strain rate responses on rock deformation are given a holistic approach, including guidelines and an automatic algorithm for identification of fracture hits. Last, a novel inversion model is introduced to show how fracture geometry can be used for optimization on well placement decisions. Supported by case studies, Hydraulic Fracture Geometry Characterization from Fiber Optic-Based Strain Measurements gives today's engineers better understanding of all complex subsurface measurements through fiber optic technology. - Examine the basics of distributed fiber optic strain measurements - Conduct a detailed analysis of strain responses observed in both horizontal and vertical monitoring wells - Present a systematic approach for interpreting strain data measured in the field - Highlight the significant insights and values that can be derived from the field measured strain dataset - Support monitoring and modeling for subsurface energy extraction and safe storage
Lost circulation control during drilling and completion in complex formations
Author: Chong Lin
Publisher: Frontiers Media SA
ISBN: 2832537405
Category : Science
Languages : en
Pages : 122
Book Description
Publisher: Frontiers Media SA
ISBN: 2832537405
Category : Science
Languages : en
Pages : 122
Book Description
Data Science and Machine Learning Applications in Subsurface Engineering
Author: Daniel Asante Otchere
Publisher: CRC Press
ISBN: 1003860192
Category : Science
Languages : en
Pages : 322
Book Description
This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems. Processing voluminous and complex data sets are the primary focus of the field of machine learning (ML). ML aims to develop data-driven methods and computational algorithms that can learn to identify complex and non-linear patterns to understand and predict the relationships between variables by analysing extensive data. Although ML models provide the final output for predictions, several steps need to be performed to achieve accurate predictions. These steps, data pre-processing, feature selection, feature engineering and outlier removal, are all contained in this book. New models are also developed using existing ML architecture and learning theories to improve the performance of traditional ML models and handle small and big data without manual adjustments. This research-oriented book will help subsurface engineers, geophysicists, and geoscientists become familiar with data science and ML advances relevant to subsurface engineering. Additionally, it demonstrates the use of data-driven approaches for salt identification, seismic interpretation, estimating enhanced oil recovery factor, predicting pore fluid types, petrophysical property prediction, estimating pressure drop in pipelines, bubble point pressure prediction, enhancing drilling mud loss, smart well completion and synthetic well log predictions.
Publisher: CRC Press
ISBN: 1003860192
Category : Science
Languages : en
Pages : 322
Book Description
This book covers unsupervised learning, supervised learning, clustering approaches, feature engineering, explainable AI and multioutput regression models for subsurface engineering problems. Processing voluminous and complex data sets are the primary focus of the field of machine learning (ML). ML aims to develop data-driven methods and computational algorithms that can learn to identify complex and non-linear patterns to understand and predict the relationships between variables by analysing extensive data. Although ML models provide the final output for predictions, several steps need to be performed to achieve accurate predictions. These steps, data pre-processing, feature selection, feature engineering and outlier removal, are all contained in this book. New models are also developed using existing ML architecture and learning theories to improve the performance of traditional ML models and handle small and big data without manual adjustments. This research-oriented book will help subsurface engineers, geophysicists, and geoscientists become familiar with data science and ML advances relevant to subsurface engineering. Additionally, it demonstrates the use of data-driven approaches for salt identification, seismic interpretation, estimating enhanced oil recovery factor, predicting pore fluid types, petrophysical property prediction, estimating pressure drop in pipelines, bubble point pressure prediction, enhancing drilling mud loss, smart well completion and synthetic well log predictions.
Contemporary Developments in Hydraulic Fracturing
Author: Kenneth Imo-Imo Israel Eshiet
Publisher: BoD – Books on Demand
ISBN: 183768331X
Category :
Languages : en
Pages : 134
Book Description
Publisher: BoD – Books on Demand
ISBN: 183768331X
Category :
Languages : en
Pages : 134
Book Description
Human Aspects of Information Security and Assurance
Author: Steven Furnell
Publisher: Springer Nature
ISBN: 3031385306
Category : Computers
Languages : en
Pages : 488
Book Description
This book constitutes the proceedings of the 17th IFIP WG 11.12 International Symposium on Human Aspects of Information Security and Assurance, HAISA 2023, held in Kent, United Kingdom, in July 2023. The 37 full papers presented in this volume were carefully reviewed and selected from 54 submissions. They are organized in the following topical sections: education and training; management, policy and skills; evolving threats and attacks; social-technical factors; and research methods.
Publisher: Springer Nature
ISBN: 3031385306
Category : Computers
Languages : en
Pages : 488
Book Description
This book constitutes the proceedings of the 17th IFIP WG 11.12 International Symposium on Human Aspects of Information Security and Assurance, HAISA 2023, held in Kent, United Kingdom, in July 2023. The 37 full papers presented in this volume were carefully reviewed and selected from 54 submissions. They are organized in the following topical sections: education and training; management, policy and skills; evolving threats and attacks; social-technical factors; and research methods.
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition
Author: Mohammadali Ahmadi
Publisher: Elsevier
ISBN: 0443240116
Category : Technology & Engineering
Languages : en
Pages : 517
Book Description
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry's pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. - Reviews the use and applications of AI in energy transition of the oil and gas sectors - Provides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowcharts - Showcases the successful implementation of AI in the industry (including geothermal energy)
Publisher: Elsevier
ISBN: 0443240116
Category : Technology & Engineering
Languages : en
Pages : 517
Book Description
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic researchers and industries working on water resources and carbon capture and storage. This book contains fundamental knowledge on artificial intelligence related to oil and gas sustainability and the industry's pivot to support the energy transition and provides practical applications through case studies and coding flowcharts, addressing gaps and questions raised by academic and industrial partners, including energy engineers, geologists, and environmental scientists. This timely publication provides fundamental and extensive information on advanced AI applications geared to support sustainability and the energy transition for the oil and gas industry. - Reviews the use and applications of AI in energy transition of the oil and gas sectors - Provides fundamental knowledge and academic background of artificial intelligence, including practical applications with real-world examples and coding flowcharts - Showcases the successful implementation of AI in the industry (including geothermal energy)