Výsledky vyhledávání - "Richard L. Chambers"

Apply Two-Way Cluster Analysis to Select Candidate Reservoir Models From Multiple Realizations

Autor: Jeffrey Marc Yarus, Richard L. Chambers, Jin Fei

Publikováno v: Day 1 Tue, May 17, 2016.

Unconventional resource plays are not typically homogeneous; therefore the reservoirs might not be contiguous. Geostatistical based earth modeling can create hundreds of reservoir property realizations. The challenge is to select a few optimal models

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fa5e8e397d2a048ff22127b5c49ba43
https://doi.org/10.2118/179955-ms

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Practical Geostatistics - An Armchair Overview for Petroleum Reservoir Engineers

Autor: Richard L. Chambers, Jeffrey Marc Yarus

Publikováno v: Journal of Petroleum Technology. 58:78-86

Distinguished Author Series articles are general, descriptive representations that summarize the state of the art in an area of technology by describing recent developments for readers who are not specialists in the topics discussed. Written by indiv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c5dfa19b331f705856befe18a146631
https://doi.org/10.2118/103357-jpt

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Three-dimensional geologic model of southeastern Tertiary coastal-plain sediments, Savannah River Site, South Carolina: An applied geostatistical approach for environmental applications

Autor: Mary K. Harris, Margaret R. Millings, Gregory P. Flach, Guillaume A. Jean, Jeffrey Marc Yarus, Richard L. Chambers, Frank H. Syms

Publikováno v: Environmental Geosciences. 11:205-220

A high-resolution geologic model of the General Separations Area supporting groundwater cleanup at the Savannah River Site (SRS) was developed using geostatistical approaches adapted from the petroleum industry. Depositional facies in each formation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9475679bc0150dba4cb1c88e448e49e9
https://doi.org/10.1306/eg.06150404011

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Reservoir Simulation Design Strategy for Next-Generation Multi-level Assisted History Matching

Autor: A. Al-Jasmi, S. Mirzadeh, S. Knabe, I. H. Hossam El Din, Amrita Singh, Marko Maucec, Gustavo Carvajal, Richard L. Chambers

Publikováno v: International Petroleum Technology Conference.

Abstract This paper introduces the bases for the design of next-generation automated workflows to implement advanced assisted history-matching (AHM) techniques. The paper presents procedures for geostatistical modeling, high-end dynamic flow simulati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0969ed391473a57ce18822bf0a73a3e5
https://doi.org/10.2523/17518-ms

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Petroleum geostatistics for nongeostatisticians

Autor: Jeffrey Marc Yarus, Richard L. Chambers, Kirk B. Hird

Publikováno v: The Leading Edge. 19:474-479

Editor's Note: The Geologic Column, which appears monthly in TLE , is (1) produced cooperatively by the SEG Interpretation Committee and the AAPG Geophysical Integration Committee and (2) coordinated by M. Ray Thomasson and Lee Lawyer. This is the fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::56fbe064ede849125d99a354f6350914
https://doi.org/10.1190/1.1438630

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A Method for Multi-Level Probabilistic History Matching and Production Forecasting: Application in a Major Middle East Carbonate Reservoir

Autor: Marko Maucec, Richard L. Chambers, S. Mirzadeh, S. Knabe, Hossam El-Din, H. K. Goel, Ajay Singh, Ahmad Al-Jasmi, Gustavo Carvajal, Genbao Shi

Publikováno v: Lecture Notes in Earth System Sciences ISBN: 9783642324079

We present a probabilistic, computer-assisted history-matching method that captures inherent model uncertainty, enhances the predictive value of reconciled models, and renders more accurate production forecasts that help reservoir characterization an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::473da809bcfa0298268b26351408ce4e
https://doi.org/10.1007/978-3-642-32408-6_143

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Engineering Workflow for Probabilistic Assisted History Matching and Production Forecasting: Application to a Middle East Carbonate Reservoir

Autor: Genbao Shi, Gustavo Carvajal, Hatem Nasr, Marko Maucec, Ajay Singh, A. Al-Jasmi, S. Knabe, S. Mirzadeh, I. H. Hossam El Din, Richard L. Chambers

Publikováno v: All Days.

Traditional reconciliation of geomodels with production data is one of the most laborious tasks in reservoir engineering. The uncertainty associated with the great majority of model variables only adds to the overall complexity. This paper introduces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e951b6952836921df0394a9e49ee22f
https://doi.org/10.2118/165980-ms

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