IMECH-IR  > 流固耦合系统力学重点实验室
Ensemble-based optimization of interwell connectivity in heterogeneous waterflooding reservoirs
Wang DG; Li Y; Chen BL; Hu YL; Li BZ; Gao DP(高大鹏); Fu B; Wang, DG (reprint author), PetroChina, Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China.; Chen, BL (reprint author), Univ Tulsa, McDougall Sch Petr Engn, Tulsa, OK 74104 USA.
Source PublicationJOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING
2017
Volume38Pages:245-256
ISSN1875-5100
Abstract

Estimation of interwell connectivity is of great importance to optimization of injection-production scheme and decision-making of potential-tapping strategies during the later stage of waterflooding. However, the traditional reservoir simulation requires detailed information of various reservoir/fluid parameters, which is time-consuming and difficult to obtain the reliable estimates due to large uncertainties. The capacitance-resistance model inferred from field injection and production data provides an attractive alternative to understanding the interwell connectivity relationship and close-loop reservoir management. For this study, the producer-based and injector-producer pair-based capacitance resistance model, CRMP and CRMIP, are employed to compute liquid production rate of each producer, respectively, followed by description of observed water cut data using the Koval fractional-flow equation. Then, this paper proposes a novel framework that enables the newly developed Stochastic Simplex Appropximate Gradient (StoSAG) algorithm to optimize interwell connectivity in waterflooding reservoirs by preconditioning the hybrid nonlinear constraints, which is further validated by a heterogeneous synthetic case. The results show that, compared to the projected-gradient (PG) and EnKF methods, the StoSAG optimization technique can handle the sequential data assimilation in large-scale nonlinear dynamics more robustly; due to more degrees of freedom, the CRMIP representation captures the reservoir's dynamic behavior better than CRMP, resulting in a more satisfactory estimation of geological parameters relative to each reservoir control volume; The Koval fractional-flow equation are effective to represent the water-producing characteristics from small-to-large water cut period, but a great deviation will be caused during the extra-high water cut stage (f(w)>90%) because of its inherent drawbacks. (C) 2016 Elsevier B.V. All rights reserved.

DOI10.1016/j.jngse.2016.12.030
URL查看原文
Indexed BySCI ; EI
Language英语
WOS IDWOS:000394062000021
WOS KeywordCapacitance-resistance model ; Koval fractional-flow equation ; Interwell connectivity ; Ensemble-based optimization technique ; Hybrid nonlinear constraint
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Chemical
Funding OrganizationThe authors thank PetroChina Company for the permission to publish the paper and the financial support of the PetroChina Science and Technology Major Project (Grant No. 2014E-3203), and the Important National Science and Technology Specific Projects of China (Grant No. 2016ZX05015-002).
Classification二类
Ranking5+
Citation statistics
Document Type期刊论文
Identifierhttp://dspace.imech.ac.cn/handle/311007/60093
Collection流固耦合系统力学重点实验室
Corresponding AuthorWang, DG (reprint author), PetroChina, Res Inst Petr Explorat & Dev, Beijing 100083, Peoples R China.; Chen, BL (reprint author), Univ Tulsa, McDougall Sch Petr Engn, Tulsa, OK 74104 USA.
Recommended Citation
GB/T 7714
Wang DG,Li Y,Chen BL,et al. Ensemble-based optimization of interwell connectivity in heterogeneous waterflooding reservoirs[J]. JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING,2017,38:245-256.
APA Wang DG.,Li Y.,Chen BL.,Hu YL.,Li BZ.,...&Chen, BL .(2017).Ensemble-based optimization of interwell connectivity in heterogeneous waterflooding reservoirs.JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING,38,245-256.
MLA Wang DG,et al."Ensemble-based optimization of interwell connectivity in heterogeneous waterflooding reservoirs".JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING 38(2017):245-256.
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