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Author Harbaugh, John Warvelle, 1926-2019.

Title Computing risk for oil prospects : principles and programs / John W. Harbaugh, John C. Davis, Johannes Wendebourg.

Imprint Oxford : Pergamon, ©1995.

Copies

Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Edition 1st ed.
Description 1 online resource (xii, 452 pages) : illustrations, maps
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Computer methods in the geosciences ; v. 14
Computer methods in the geosciences ; 14.
Bibliography Includes bibliographical references (pages 353-382) and index.
Note Print version record.
Contents 1. The Challenge of Risk Assessment -- 2. Field Size Distributions -- 3. Success, Sequence, and Gambler's Ruin -- 4. Estimating Discovery Size from Prospect Size -- 5. Outcome Probabilities and Success Ratios -- 6. Modeling Prospects -- 7. Mapping Properties and Uncertainties -- 8. Discriminating Discoveries and Dry Holes -- 9. Forecasting Cash Flow for a Prospect -- 10. The Worth of Money -- 11. RATs, Decision Tables, and Trees -- 12. Bringing It Together -- Appendix A -- Software Installation of Risk: Software to perform probabilistic assements and financial calculations in Computing Risk for Oil Prospects -- Appendix B -- Riskstat Manual: Linked Computer programs that perform statistical analyses in Risk -- Appendix C -- Riskmap Manual: Programs that perform the mapping function in Risk -- Appendix D -- Risktab Manual: Linked computer programs that perform financial calculations in Risk.
Summary 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 & mdash; predicting the distribution of financial gains or losses that may result from the drilling of an exploration well & mdash; 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 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.
Language English.
Subject Petroleum -- Prospecting -- Data processing.
Risk assessment -- Data processing.
Pétrole -- Prospection -- Informatique.
Évaluation du risque -- Informatique.
TECHNOLOGY & ENGINEERING -- Mining.
Petroleum -- Prospecting -- Data processing
Risk assessment -- Data processing
Indexed Term Prospecting Use of Computers
Added Author Davis, John C.
Wendebourg, Johannes.
Other Form: Print version: Harbaugh, John Warvelle, 1926- Computing risk for oil prospects. 1st ed. Oxford : Pergamon, ©1995 0080418902 9780080418902 (DLC) 95043691 (OCoLC)33244202
ISBN 008052950X (ebook)
9780080529509 (ebook)
9780080418902
0080418902
1281071935
9781281071934
Standard No. AU@ 000043180718
DEBBG BV039831769
DEBBG BV042309025
DEBSZ 367772892
DEBSZ 482440368
NZ1 12233825
NZ1 15191562
NZ1 15594797

 
    
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