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Open AccessArticle

Improved CRM Model for Inter-Well Connectivity Estimation and Production Optimization: Case Study for Karst Reservoirs

1
Beijing International Center for Gas Hydrate, Peking University, Beijing 100871, China
2
Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China
*
Authors to whom correspondence should be addressed.
Energies 2019, 12(5), 816; https://doi.org/10.3390/en12050816
Received: 22 January 2019 / Revised: 23 February 2019 / Accepted: 25 February 2019 / Published: 1 March 2019
Due to the coexistence of multiple types of reservoir bodies and widely distributed aquifer support in karst carbonate reservoirs, it remains a great challenge to understand the reservoir flow dynamics based on traditional capacitance–resistance (CRM) models and Darcy’s percolation theory. To solve this issue, an improved injector–producer-pair-based CRM model coupling the effect of active aquifer support was first developed and combined with the newly-developed Stochastic Simplex Approximate Gradient (StoSAG) optimization algorithm for accurate inter-well connectivity estimation in a waterflood operation. The improved CRM–StoSAG workflow was further applied for real-time production optimization to find the optimal water injection rate at each control step by maximizing the net present value of production. The case study conducted for a typical karst reservoir indicated that the proposed workflow can provide good insight into complex multi-phase flow behaviors in karst carbonate reservoirs. Low connectivity coefficient and time delay constant most likely refer to active aquifer support through a high-permeable flow channel. Moreover, the injector–producer pair may be interconnected by complex fissure zones when both the connectivity coefficient and time delay constant are relatively large. View Full-Text
Keywords: capacitance-resistance model; aquifer support; inter-well connectivity; production optimization; karst carbonate reservoir capacitance-resistance model; aquifer support; inter-well connectivity; production optimization; karst carbonate reservoir
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MDPI and ACS Style

Wang, D.; Li, Y.; Zhang, J.; Wei, C.; Jiao, Y.; Wang, Q. Improved CRM Model for Inter-Well Connectivity Estimation and Production Optimization: Case Study for Karst Reservoirs. Energies 2019, 12, 816.

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