Probability Methods in Oil Exploration PDF Download
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Author: John Warvelle Harbaugh
Publisher: John Wiley & Sons
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 296
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Book Description
Author: John Warvelle Harbaugh
Publisher: John Wiley & Sons
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 296
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Book Description
Author: Bernardo F. Grossling
Publisher:
ISBN:
Category : Petroleum reserves
Languages : en
Pages : 28
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Book Description
A critique of the probabilistic significance of certain concepts and methods used in petroleum-resource assessment. To that end, a probabilistic model is sketched.
Author: Daniel F. Merriam
Publisher: Springer Science & Business Media
ISBN: 1461513596
Category : Science
Languages : en
Pages : 362
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Book Description
Modeling and simulation were introduced to the earth sciences about four decades ago. Modeling has proven its worth and now it is an accepted procedure for analyzing and solving geological problems. The papers in this collection are focused on modeling sediment deposition and sedimentary sequences and have a decidedly practical flavor. Some of the leading simulation packages, such as CORRELATOR, SEDFLUX, SEDpak, SEDSIM, STRATA, and STRATSIM are applied to problems in hydrocarbon exploration, oil production, groundwater development, coal-bed appraisal, geothermics, and environmental diagnosis. All of these subjects fall under the broad heading of sedimentary basin analysis. The fifteen papers in this volume are written by internationally recognized experts from academia and industry. The contributions represent the status of geologic modeling and simulation at the start of the 21st century, and will give the reader an insight into current research problems and their possible solutions.
Author: Gordon M. Kaufman
Publisher:
ISBN:
Category : Natural gas
Languages : en
Pages : 336
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Book Description
Author: J.W. Harbaugh
Publisher: Elsevier
ISBN: 9780080529509
Category : Science
Languages : en
Pages : 451
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Book Description
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.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309045339
Category : Science
Languages : en
Pages : 193
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Book Description
When the U.S. Department of the Interior released its 1989 estimates of how much undiscovered oil and gas remain in the United States, a controversy ensued. Some members of the petroleum industry charged that the estimates were too low. This book evaluates the scientific credibility of the statistical and geological methods underlying the estimates.
Author: Ian Lerche
Publisher: Academic Press
ISBN: 9780124441743
Category : Science
Languages : en
Pages : 678
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Book Description
The subsequent incorporation of model uncertainties into probabilistic models of basin evolution and behavior constitutes the second half of this book. Throughout, the author interweaves a discussion of scientific probability, risk, and strategy within the context of improving our ability to assess strategic hydrocarbon resources.
Author: Jia’en Lin
Publisher: Springer Nature
ISBN: 9819704685
Category :
Languages : en
Pages : 1071
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Book Description
Author: Keith R. Holdaway
Publisher: John Wiley & Sons
ISBN: 1119215102
Category : Business & Economics
Languages : en
Pages : 368
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Book Description
Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.
Author: Ian Lerche
Publisher: Academic Press
ISBN: 0323139620
Category : Technology & Engineering
Languages : en
Pages : 189
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Book Description
This book presents quantitative procedures for assessing predictions of potential oil recovery (basin size, hydrocarbon content), and economic impact (exploration cost, production, transport, and refining). Emphasis is placed on advances made in analytical methods and improved techniques developed during the last decade.
