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Titolo:
Integration of production data into reservoir models
Autore:
Oliver, DS; Reynolds, AC; Bi, ZX; Abacioglu, Y;
Indirizzi:
Univ Tulsa, Dept Petr Engn, Tulsa, OK 74104 USA Univ Tulsa Tulsa OK USA 74104 Tulsa, Dept Petr Engn, Tulsa, OK 74104 USA Duke Univ, Dept Math, Durham, NC 27708 USA Duke Univ Durham NC USA 27708Duke Univ, Dept Math, Durham, NC 27708 USA
Titolo Testata:
PETROLEUM GEOSCIENCE
, volume: 7, anno: 2001,
pagine: S65 - S73
SICI:
1354-0793(200105)7:<S65:IOPDIR>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
SIMULATED TRANSMISSIVITY FIELDS; PILOT POINT METHODOLOGY; PRESSURE DATA; AUTOMATED CALIBRATION; GROUNDWATER-FLOW; INVERSE PROBLEMS; SENSITIVITY; SCALE; PERMEABILITY; ENSEMBLE;
Keywords:
uncertainty; stochastic process; history matching; inverse problem; reservoir characterization;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Engineering, Computing & Technology
Citazioni:
73
Recensione:
Indirizzi per estratti:
Indirizzo: Oliver, DS Univ Tulsa, Dept Petr Engn, Tulsa, OK 74104 USA Univ Tulsa Tulsa OK USA 74104 t Petr Engn, Tulsa, OK 74104 USA
Citazione:
D.S. Oliver et al., "Integration of production data into reservoir models", PETR GEOSCI, 7, 2001, pp. S65-S73

Abstract

The problem of mapping reservoir properties, such as porosity and permeability, and of assessing the uncertainty in the mapping has been largely approached probabilistically, i.e. uncertainty is estimated based on the properties of an ensemble of random realizations of the reservoir properties all of which satisfy constraints provided by data and prior geological knowledge. When the constraints include observations of production characteristics,the problem of generating a representative ensemble of realizations can bequite difficult partly because the connection between a measurement of water-cut or GOR at a well and the permeability at some other location is bq no means obvious. In this paper, the progress towards incorporation of production data and remaining challenges are reviewed.

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Documento generato il 06/04/20 alle ore 23:10:39