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Iterative static modeling of channelized reservoirs using history-matched facies probability data and rejection of training image

Title
Iterative static modeling of channelized reservoirs using history-matched facies probability data and rejection of training image
Authors
Lee K.Kim S.Choe J.Min B.Lee H.S.
Ewha Authors
민배현
SCOPUS Author ID
민배현scopus
Issue Date
2019
Journal Title
Petroleum Science
ISSN
1672-5107JCR Link
Citation
Petroleum Science vol. 16, no. 1, pp. 127 - 147
Keywords
Channelized reservoirsHistory matchingHistory-matched facies probability mapIterative static modelingMultiple-point statisticsTraining image rejection
Publisher
China University of Petroleum Beijing
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Most inverse reservoir modeling techniques require many forward simulations, and the posterior models cannot preserve geological features of prior models. This study proposes an iterative static modeling approach that utilizes dynamic data for rejecting an unsuitable training image (TI) among a set of TI candidates and for synthesizing history-matched pseudo-soft data. The proposed method is applied to two cases of channelized reservoirs, which have uncertainty in channel geometry such as direction, amplitude, and width. Distance-based clustering is applied to the initial models in total to select the qualified models efficiently. The mean of the qualified models is employed as a history-matched facies probability map in the next iteration of static models. Also, the most plausible TI is determined among TI candidates by rejecting other TIs during the iteration. The posterior models of the proposed method outperform updated models of ensemble Kalman filter (EnKF) and ensemble smoother (ES) because they describe the true facies connectivity with bimodal distribution and predict oil and water production with a reasonable range of uncertainty. In terms of simulation time, it requires 30 times of forward simulation in history matching, while the EnKF and ES need 9000 times and 200 times, respectively. © 2018, The Author(s).
DOI
10.1007/s12182-018-0254-x
Appears in Collections:
일반대학원 > 대기과학공학과 > Journal papers
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