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Geologically consistent history matc...

Hoffman, B. Todd.

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Geologically consistent history matching while perturbing facies.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Geologically consistent history matching while perturbing facies./
作者:	Hoffman, B. Todd.
面頁冊數:	299 p.
附註:	Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2139.
Contained By:	Dissertation Abstracts International66-04B.
標題:	Physics, Radiation. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3171797
ISBN:	0542087057

Geologically consistent history matching while perturbing facies.
Hoffman, B. Todd.

Geologically consistent history matching while perturbing facies. - 299 p.

Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2139.

Thesis (Ph.D.)--Stanford University, 2005.

Reservoir modeling is used to better understand the complex flow behavior in a reservoir. History matching is an integral part of any reservoir modeling study where the field has produced for some time. History matching is the process where properties in the reservoir model are changed until the production from the model matches the field data. Traditionally, this has been a heuristic trial and error process, and often other reservoir data, such as geologic continuity, is sacrificed to achieve a match.

ISBN: 0542087057Subjects--Topical Terms:

1019212
Physics, Radiation.

Geologically consistent history matching while perturbing facies.
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245 1 0 $a Geologically consistent history matching while perturbing facies.
300 $a 299 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 2139.
500 $a Adviser: Jef Caers.
502 $a Thesis (Ph.D.)--Stanford University, 2005.
520 $a Reservoir modeling is used to better understand the complex flow behavior in a reservoir. History matching is an integral part of any reservoir modeling study where the field has produced for some time. History matching is the process where properties in the reservoir model are changed until the production from the model matches the field data. Traditionally, this has been a heuristic trial and error process, and often other reservoir data, such as geologic continuity, is sacrificed to achieve a match.
520 $a This dissertation presents an innovative methodology to match production data and honor other reservoir data. For most reservoir modeling, geostatistical methods are used to generate properties for the models (e.g. porosity and permeability). By directly perturbing these properties, there is a risk that the intended geological continuity or other data is destroyed. In this dissertation, a method termed probability perturbation is proposed that relies on perturbing the underlying probabilities used to generate the properties. It is shown that all reservoir data can be maintained with this perturbation method, and predictions from the reservoir models are more accurate.
520 $a One of the most novel aspects of this history matching method is that large scale parameters, such as facies geometry, can be perturbed. Large scale parameters have a substantial impact on fluid flow in the reservoir, but perturbing them in history matching applications has been notoriously difficult due to their discrete nature. The main focus of this dissertation is to vary facies distributions and proportions. A multi-parameter method is developed that allows different parts of the reservoir model to be perturbed by different amounts, dramatically increasing the efficiency of the method. Numerous synthetic examples are used to study the effectiveness and robustness of the method.
520 $a While the method is shown to be theoretically sound, its greatest strength may be its practicality. A major focus of the work is to create a methodology that can be applied to actual reservoirs; the method is successfully demonstrated on two large real field cases. In both cases, the proposed method is able to significantly improve the match and honor the static information from the reservoir.
590 $a School code: 0212.
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