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Statistical Methods for Estimating Petroleum Resources$
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P.J. Lee and Jo Anne DeGraffenreid

Print publication date: 2008

Print ISBN-13: 9780195331905

Published to Oxford Scholarship Online: November 2020

DOI: 10.1093/oso/9780195331905.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 27 October 2021

Estimation Update and Feedback Procedures

Estimation Update and Feedback Procedures

(p.140) 6 Estimation Update and Feedback Procedures
Statistical Methods for Estimating Petroleum Resources

P.J. Lee

, Jo Anne DeGraffenreid
Oxford University Press

A basin or subsurface study, which is the first step in petroleum resource evaluation, requires the following types of data: • Reservoir data-pool area, net pay, porosity, water saturation, oil or gas formation volume factor, in-place volume, recoverable oil volume or marketable gas volume, temperature, pressure, density, recovery factors, gas composition, discovery date, and other parameters (refer to Lee et al., 1999, Section 3.1.2). • Well data-surface and bottom well locations; spud and completion dates; well elevation; history of status; formation drill and true depths; lithology; drill stem tests; core, gas, and fluid analyses; and mechanical logs. • Geochemical data-types of source rocks, burial history, and maturation history. • Geophysical data-prospect maps and seismic sections. Well data are essential when we construct structural contour, isopach, lithofacies, porosity, and other types of maps. Geophysical data assist us when we compile number-of-prospect distributions and they provide information for risk analysis.

Keywords:   area of closure, basin, chronostratigraphic data, discovery, economic analysis, facies, gas, hydrocarbon, lithology, marketable gas volume

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