Quantification and prediction of hydrocarbon resources proceedings of the Norwegian Petroleum Society Conference, 6-8 December 1993, Stavanger, Norway by Norsk petroleumsforening. Conference

Cover of: Quantification and prediction of hydrocarbon resources | Norsk petroleumsforening. Conference

Published by Elsevier in Amsterdam, New York .

Written in English

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  • Petroleum reserves -- Congresses.

Edition Notes

Includes bibliographical references and indexes.

Book details

Statementedited by A. G. Doré and R. Sinding-Larsen.
SeriesNorwegian Petroleum Society (NPF) special publication ;, no. 6
ContributionsDoré, A. G., Sinding-Larsen, Richard.
LC ClassificationsTN863 .N67 1991
The Physical Object
Paginationx, 352 p. :
Number of Pages352
ID Numbers
Open LibraryOL735325M
ISBN 100444824960
LC Control Number97125849

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Containing hundreds of illustrations, some in colour, the book is arranged in 26 chapters with a detailed subject : $ Search in this book series. Quantification and Prediction of Hydrocarbon Resources Proceedings of the Norwegian Petroleum Society Conference select article The Russian method for prediction of hydrocarbon resources of continental shelves, with examples from the Barents sea.

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Dore StatoilUK Ltd, Swan Gard Piccadilly, London W1VOLJ, UK I and R. Sinding-Larsen Department of Geology and Mineral Resources Engineering, The Norwegian Institute of.

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Chapter 6. Reserve and resource definition: dealing with uncertainty. Chapter 7. The Norwegian Petroleum Directorate's Resource Classification System. Part III: Assessment of Undiscovered Hydrocarbon Resources.

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By the end of% of these reserves had been produced, with % remaining proven reserves and % undiscovered. In this study, by using experimental LFL data of hydrocarbon mixture from a single reference, quantitative structure‐property relationship (QSPR) models have been established using four machine learning methods, namely, k‐nearest neighbors, support.

Hydrocarbon Seal Quantification Details This volume contains 17 selected papers reflecting the flavour of the Norwegian Petroleum Society conference on hydrocarbon seals quantification and showing the recent significant advances in the understanding and application of hydrocarbon seal methodologies.

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Underestimation of prediction uncertainties therefore presents a high risk to investment decisions for facility designs and exploration targets. The complexity and computational cost of reservoir simulation models often defines narrow limits for the number of simulation runs used in related uncertainty quantification studies.

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While evaluating total petroleum hydrocarbons (TPH) in soils is often conducted using costly and time‐consuming laboratory methods, visible and near‐infrared reflectance spectroscopy (Vis–NIR) has been proven to be a rapid and cost‐effective field‐based method for.

Guidelines for the Evaluation of Petroleum Reserves and Resources 3 Petroleum reserves and resources are important to both companies and countries.

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Using the Upper Triassic Yanchang Formation in Ordos Basin, China as a case study, we first introduce a new method to. Abstract The prediction of the hydrocarbon potential of a specific trap or of a number of specific traps (venture), referred to herein as prospect appraisal, concerns a probabilistic exercise based on the quantification of geology in terms of structural closure, reservoir quality, hydrocarbon charge, and the retention potential of the seal.

The need for improved prediction of reservoir quality has been documented by Rose () and Sluijk and Parker (). Rose notes, in one of the few reported examples of assessment of wildcat failures, that incorrect prediction of commercial reservoir rock. Article Views are the COUNTER-compliant sum of full text article downloads since November (both PDF and HTML) across all institutions and individuals.

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Petroleum (Oil and Gas) Geology and Resources, this volume). Geochemists study the chemistry of petroleum and its sources to characterize the petroleum type, history and origin. Geochemists also develop input into basin modeling which provides quantitative integrated petroleum system models, including source, reservoir, seal, trapping.

The known prediction bias for acetylenic compounds was significant only for small compounds (fewer than four carbons) and was not corrected (see Supporting Information).

Prediction of combustion enthalpies by this model was very accurate and precise (R =SD = kcal/mol for values ranging from to kcal/mol, N = 51). For Br. IMPROVING PREDICTIONS OF N ETLDOE HYDROCARBON RESOURCE VOLUMES The ability to reliably predict the thermophysical properties of hydrocarbons over wide ranges of temperatures and pressures, will provide a means for accurate predictions of the recoverable reserves and will promote safe and secure production from these critically important reservoirs.

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Development of Unconventional Hydrocarbon Resources in the Appalachian Basin is the summary of a workshop convened by the National Research Council to examine the geology and unconventional hydrocarbon resources of the Appalachian Basin; technical methods for producing unconventional hydrocarbons and disposing of wastewater; the potential effects of production on the environment.

Hydrocarbon Reserve Estimation - Free download as Powerpoint Presentation .ppt), PDF File .pdf), Text File .txt) or view presentation slides online. • Those quantities of oil and gas anticipated to be economically recoverable from discovered resources from a given date forward are is an approximation of the quantity of oil or gas.

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The forming mechanism of hydrocarbon resource depends. on the distribution sequence of reservoir space size (Fig. mm-sized pores or larger, fluid flows unrestrictedly, and the.

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These hydrocarbons either exist as an open chain or circular ring structured and they are known as alkanes and cycloalkanes respectively.

Some common examples of saturated hydrocarbons are: (ii) Unsaturated hydrocarbon: These are the hydrocarbons that have double or triple bonds between the carbon atoms.

These unsaturated hydrocarbons are of. The main objective of this 3 Day course is for attendees to learn how pressure data affects the safe and optimal exploration and exploitation of hydrocarbon reservoirs.

Overpressure is found in most sedimentary basins, where reservoirs tend to be fine-grained lithologies, especially at. Pressure prediction from seismic data: implications for seal distribution and hydrocarbon exploration and exploitation in the deepwater Gulf of Mexico (N.C. Dutta).

Pore water flow and petroleum migration in the Smorbukk field area, offshore mid-Norway (R. Olstad et al.). The Njord field: a dynamic hydrocarbon trap (T. Lilleng, R. Gundeso). Over-population became one of the great bogey-men of the post-war era.

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The lower flammability limit (LFL) is one of the most important parameters for evaluating the fire and explosion hazards of flammable gases or vapors. This study proposed quantitative structure−property relationship (QSPR) models to predict the LFL of binary hydrocarbon gases from their molecular structures.

Twelve different mixing rules were employed to derive mixture descriptors for. Quantification of exhumation in the Eromanga Basin and its implications for hydrocarbon exploration This study has major implications for hydrocarbon exploration. Predicted maturation of source rocks will be greater for any given geothermal history if exhumation is incorporated in maturation modelling.

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Presented at the 80th Gas Processors Association Convention, Bryan Research & Engineering, Inc. Visit our Engineering Resources page for more articles.Mohammad-Reza Riazi, G. Ali Mansoori University of Illinois at Chicago Chicago A simple, cubic equation of state (EOS) for hydrocarbon systems accurately predicts densities of a variety of.

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