Inverse and Risking Methods in Hydrocarbon Exploration

Inverse and Risking Methods in Hydrocarbon Exploration
Author: Ian Lerche
Publisher: multi-science publishing
Total Pages: 522
Release: 2005
Genre: Science
ISBN: 9780906522325

This book looks at how modern developments have enhanced the utility of basin analysis in hydrocarbon exploration. A major factor is modern computing power, which enables complex Monte Carlo-type calculations to be rapidly carried out; a second is the transfer of concepts from the economic arena to the theatre of hydrocarbon production, for example setting risking procedures to cope with data uncertainties. In addition now there are available powerful methods for handling the determination of parameters in the highly non-linear world of equations describing various facets of basin analysis. Th.

Economic Risk in Hydrocarbon Exploration

Economic Risk in Hydrocarbon Exploration
Author: Ian Lerche
Publisher: Elsevier
Total Pages: 421
Release: 1999-01-08
Genre: Science
ISBN: 0080505007

Economic Risk in Hydrocarbon Exploration provides a total framework for assessing the uncertainties associated with exploration risk from beginning to end. Numerous examples with accompanying microcomputer algorithms illustrate how to quantitatively approach economic risk. The text compares detailed assumptions and models of economic risk, and presents numerical examples throughout to facilitate hands-on calculations using popular spread-sheet packages on personal computers. Covers economic risk from exploration through production models Brings methods to a level where all can be done on a PC Analyzes numerical examples from the real world Removes "mystery" from how economics is done Addresses assumptions in models and shows how they influence projections

Computing Risk for Oil Prospects: Principles and Programs

Computing Risk for Oil Prospects: Principles and Programs
Author: J.W. Harbaugh
Publisher: Elsevier
Total Pages: 467
Release: 1995-11-22
Genre: Science
ISBN: 008052950X

The petroleum industry is enduring difficult financial times because of the continuing depressed price of crude oil on the world market. This has caused major corporate restructuring and reductions in staff throughout the industry. Because oil exploration must now be done with fewer people under more difficult economic constraints, it is essential that the most effective and efficient procedures be used. Computing Risk for Oil Prospects describes how prospect risk assessment — predicting the distribution of financial gains or losses that may result from the drilling of an exploration well — can be done using objective procedures implemented on personal computers. The procedures include analyses of historical data, interpretation of geological and geophysical data, and financial calculations to yield a spectrum of the possible consequences of decisions. All aspects of petroleum risk assessment are covered, from evaluating regional resources, through delineating an individual prospect, to calculation of the financial consequences of alternative decisions and their possible results. The bottom lines are given both in terms of the probable volumes of oil that may be discovered and the expected monetary returns. Statistical procedures are linked with computer mapping and interpretation algorithms, which feed their results directly into routines for financial analysis. The programs in the included library of computer programs are tailored to fit seamlessly together, and are designed for ease and simplicity of operation. The two diskettes supplied are IBM compatible. Full information on loading is given in Appendix A - Software Installation. Risk I diskette contains data files and executables and Risk 2 diskette contains only executables. The authors contend that the explorationist who develops a prospect should be involved in every facet of its analysis, including risk and financial assessments. This book provides the tools necessary for these tasks.

Risk Analysis and Management of Petroleum Exploration Ventures

Risk Analysis and Management of Petroleum Exploration Ventures
Author: Peter R. Rose
Publisher:
Total Pages: 164
Release: 2001
Genre: Electronic book
ISBN:

During the 1990s, many international petroleum companies improved their exploration performance significantly by using principles of risk analysis and portfolio management, in combination with new geotechnologies.

Quantification and Prediction of Hydrocarbon Resources

Quantification and Prediction of Hydrocarbon Resources
Author: A.G. Doré
Publisher: Elsevier
Total Pages: 363
Release: 1996-12-17
Genre: Science
ISBN: 0080540090

The oil price shocks of the mid-1980s and their aftermath created radical changes in the petroleum industry, and underlined the need for reliable information on petroleum resources. Integration between the disciplines of petroleum geology, exploration geophysics, reservoir/petroleum engineering and economics became a necessity for resource management and strategic planning. This volume is designed to bring together some of the best techniques evolved to meet these challenges. The very broad scope of the volume, ranging from the macro (global) to micro (field and prospect) level, provides an overview of the thought processes currently prevalent in the industry and academia on the subject of resource quantification and prediction. This is one of the first books to cover the extensive assembly of hydrocarbon quantification and prediction techniques - of value to petroleum industry management, geoscientists, engineers and economists. Containing hundreds of illustrations, some in colour, the book is arranged in 26 chapters with a detailed subject index. Many service companies and university departments with links to the industry will also find much to interest them.

Hydrocarbon Exploration and Production

Hydrocarbon Exploration and Production
Author: Frank Jahn
Publisher: Elsevier
Total Pages: 458
Release: 2008-03-13
Genre: Science
ISBN: 0080568831

Hydrocarbon Exploration and Production, Second Edition is a comprehensive and current introduction to the upstream industry, drawing together the many inter-disciplinary links within the industry. It presents all the major stages in the life of an oil or gas field, from gaining access to opportunity, through exploration, appraisal, development planning, production, and finally to decommissioning. It also explains the fiscal and commercial environment in which oil and gas field development takes place. The book is written for industry professionals who wish to be better informed about the basic technical and commercial methods, concepts and techniques used in the upstream oil and gas business. The authors are the founders of TRACS International, a company which has provided training and consultancy in Exploration and Production related issues for many clients world-wide since 1992. Clearly written in a concise and straightforward manner Features detailed technical illustrations to maximize learning Presents major advances in the industry, including technical methods for field evaluation and development and techniques used for managing risk within the business Developed from TRACS International course materials, discussions with clients, and material available in the public domain

Petroleum Exploration: A Quantitative Introduction

Petroleum Exploration: A Quantitative Introduction
Author: Ray L. Sengbush
Publisher: Springer
Total Pages: 234
Release: 1987-07-14
Genre: Science
ISBN: 9789401085243

This book is about exploration for oil and gas and focuses particularly on seismic exploration in the hunt for hydrocarbons. The first part, "The Hunt for Hydrocarbons," gives general background informa tion, with an introductory chapter on the beginnings of the oil business followed by three chapters that in clude elements of petroleum geology, geophysical methods, and drilling and logging. The second part, "Seismic Exploration for Hydrocarbons," consists of two chapters that describe rudiments of the seismic method and velocity measurements; two chapters dis cussing theory based on wave propagation and the convolutional model; and a chapter devoted to each of the three phases of seismic exploration: acquisi tion, processing, and interpretation. I have concen trated on seismic exploration because most of the oil and gas that has been found has been located by this method, and it is the only method that has the poten tial for the increased precision needed in what Hal bouty (1982) calls "the deliberate search for the subtle trap. " In contrast to elementary and introductory books that present the seismic method superficially and qualitatively, this book develops the method quanti tatively, using only elementary mathematics (algebra and trigonometry), so that readers should be able to do things afterwards that they couldn't do before, and thereby get a deeper appreciation of the business of hunting for hydrocarbons. The book also probes into some sophisticated topics that wouldn't be mentioned IX x use in short courses at a variety of levels.

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry
Author: Manan Shah
Publisher: CRC Press
Total Pages: 162
Release: 2022-09-02
Genre: Technology & Engineering
ISBN: 1000629554

Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today’s world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the product to the end customer, while taking into account the incorporation of the safety measures for a better operation and the efficient and effective execution of operations. This book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems. It will serve as a useful guide for professionals working in the petroleum industry, industrial engineers, AI and ML experts and researchers, as well as students.