Artificial Intelligent Approaches in Petroleum Geosciences
Artificial Intelligent Approaches in Petroleum Geosciences

Author: Constantin Cranganu

Publisher: Springer

Published: 2015-04-20

Total Pages: 298

ISBN-13: 3319165313

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This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, whilst also emphasizing essential parameters such as robustness, accuracy, speed of convergence, computer time, overlearning and the role of normalization. The intelligent approaches presented include artificial neural networks, fuzzy logic, active learning method, genetic algorithms and support vector machines, amongst others. Integration, handling data of immense size and uncertainty, and dealing with risk management are among crucial issues in petroleum geosciences. The problems we have to solve in this domain are becoming too complex to rely on a single discipline for effective solutions and the costs associated with poor predictions (e.g. dry holes) increase. Therefore, there is a need to establish a new approach aimed at proper integration of disciplines (such as petroleum engineering, geology, geophysics and geochemistry), data fusion, risk reduction and uncertainty management. These intelligent techniques can be used for uncertainty analysis, risk assessment, data fusion and mining, data analysis and interpretation, and knowledge discovery, from diverse data such as 3-D seismic, geological data, well logging, and production data. This book is intended for petroleum scientists, data miners, data scientists and professionals and post-graduate students involved in petroleum industry.

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Author: K. Gayathri Devi

Publisher: CRC Press

Published: 2020-10-07

Total Pages: 250

ISBN-13: 1000179516

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Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning

PVT Property Correlations
PVT Property Correlations

Author: Ahmed El-Banbi

Publisher: Gulf Professional Publishing

Published: 2018-04-20

Total Pages: 433

ISBN-13: 012812573X

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PVT properties are necessary for reservoir/well performance forecast and optimization. In absence of PVT laboratory measurements, finding the right correlation to estimate accurate PVT properties could be challenging. PVT Property Correlations: Selection and Estimation discusses techniques to properly calculate PVT properties from limited information. This book covers how to prepare PVT properties for dry gases, wet gases, gas condensates, volatile oils, black oils, and low gas-oil ration oils. It also explains the use of artificial neural network models in generating PVT properties. It presents numerous examples to explain step-by-step procedures in using techniques designed to deliver the most accurate PVT properties from correlations. Complimentary to this book is PVT correlation calculator software. Many of the techniques discussed in this book are available with the software. This book shows the importance of PVT data, provides practical tools to calculate PVT properties, and helps engineers select PVT correlations so they can model, optimize, and forecast their assets. - Understand how to prepare PVT data in absence of laboratory reports for all fluid types - Become equipped with a comprehensive list of PVT correlations and their applicability ranges - Learn about ANN models and their applications in providing PVT data - Become proficient in selecting best correlations and improving correlations results

Coring Methods and Systems
Coring Methods and Systems

Author: Rahman Ashena

Publisher: Springer

Published: 2018-05-02

Total Pages: 260

ISBN-13: 3319777335

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This book is a practical guide to downhole rock sampling and coring concepts, methods, systems, and procedures for practitioners and researchers. Its chapters are based upon years of extensive studies and research about the coring methods and via direct and continuous communication and consultation obtained from various service and operator companies such as Baker Hughes GE, NOV, OMV, and Sandvik. The contributors discuss the state-of-the-art coring methods and systems (mainly used in the petroleum industry), which include: · conventional coring; · wireline continuous coring; · invasion mitigation coring (low invasion, gel coring, sponge coring); · jam-detection, anti-jamming, full closure; · safe-coring and tripping; · oriented-coring; · pressure/in-situ coring; · logging-while-coring; · motor coring; · mini-coring; · coiled Tubing Coring; and · underbalanced coring. The contributors provide practical and applicable understanding of the procedures of these coring methods and systems, as well as the specific core barrel components, working mechanisms, and schematics of the tools and processes used. Because Coring Methods and Systems analyses and compares the core barrels used in both petroleum and mining industries, it enhances the communication and may allow knowledge transfer between the two industries. As core damage is a serious issue during coring and handling jeopardizing correct calibration of exploration data, Coring Methods and Systems has greatly focused on its identification and its mitigation. Therefore, it can be used as an ideal source for geologists, core analysts, and reservoir engineers, to ensure the retrieval of high-quality cores.

Advances in Geophysics, Tectonics and Petroleum Geosciences
Advances in Geophysics, Tectonics and Petroleum Geosciences

Author: Mustapha Meghraoui

Publisher: Springer Nature

Published: 2022-04-21

Total Pages: 643

ISBN-13: 3030730263

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This edited book is based on the best papers accepted for presentation during the 2nd Springer Conference of the Arabian Journal of Geosciences (CAJG-2), Tunisia, in 2019. It is of interest to all researchers practicing geophysics/seismology, structural, and petroleum geology. With four sections spanning a large spectrum of geological and geophysical topics with particular reference to Middle East, Mediterranean region, and Africa, this book presents a series of research methods that are nowadays in use for measuring, quantifying, and analyzing several geological domains. It starts with a subsection dedicated to the latest research studies on seismic hazard and risk assessment in Africa presented during the 2019 IGCP-659 meeting organized alongside the CAJG-2. And, it includes new research studies on earthquake geodesy, seismotectonics, archeoseismology and active faulting, well logging methods, geodesy and exploration/theoretical geophysics, petroleum geochemistry, petroleum engineering, structural geology, basement architecture and potential data, tectonics and geodynamics, and thermicity, petroleum, and other georesources. The edited book gives insights into the fundamental questions that address the genesis and evolution of our planet, and this is based on data collection and experimental investigations under physical constitutive laws. These multidisciplinary approaches combined with the geodynamics of tectonic provinces and investigations of potential zones of natural resources (petroleum reservoirs) provide the basis for a more sustainability in the economic development.

Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches
Unconventional Hydrocarbon Resources: Prediction and Modeling Using Artificial Intelligence Approaches

Author: Sid-Ali Ouadfeul

Publisher: John Wiley & Sons

Published: 2023-08-22

Total Pages: 324

ISBN-13: 1119389364

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Unconventional Hydrocarbon Resources Enables readers to save time and effort in exploring and exploiting shale gas and other unconventional fossil fuels by making use of advanced predictive tools Unconventional Hydrocarbon Resources highlights novel concepts and techniques for the geophysical exploration of shale and other tight hydrocarbon reservoirs, focusing on artificial intelligence approaches for modeling and predicting key reservoir properties such as pore pressure, water saturation, and wellbore stability. Numerous application examples and case studies present real-life data from different unconventional hydrocarbon fields such as the Barnett Shale (USA), the Williston Basin (USA), and the Berkine Basin (Algeria). Unconventional Hydrocarbon Resources explores a wide range of reservoir properties, including modeling of the geomechanics of shale gas reservoirs, petrophysics analysis of shale and tight sand gas reservoirs, and prediction of hydraulic fracturing effects, fluid flow, and permeability. Sample topics covered in Unconventional Hydrocarbon Resources include: Calculation of petrophysical parameter curves for non-conventional reservoir modeling and characterization Comparison of the Levenberg-Marquardt and conjugate gradient learning methods for total organic carbon prediction in the Barnett shale gas reservoir Use of pore effective compressibility for quantitative evaluation of low resistive pays and identifying sweet spots in shale reservoirs Pre-drill pore pressure estimation in shale gas reservoirs using seismic genetic inversion Using well-log data to classify lithofacies of a shale gas reservoir Unconventional Hydrocarbon Resources is a valuable resource for researchers and professionals working on unconventional hydrocarbon exploration and in geoengineering projects.

Application of Soft Computing and Intelligent Methods in Geophysics
Application of Soft Computing and Intelligent Methods in Geophysics

Author: Alireza Hajian

Publisher: Springer

Published: 2018-06-21

Total Pages: 543

ISBN-13: 3319665324

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This book provides a practical guide to applying soft-computing methods to interpret geophysical data. It discusses the design of neural networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes genetic algorithms for the automatic and/or intelligent processing and interpretation of geophysical data.