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

Author

Listed:
  • Daigang Wang

    (Beijing International Center for Gas Hydrate, Peking University, Beijing 100871, China)

  • Yong Li

    (Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China)

  • Jing Zhang

    (Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China)

  • Chenji Wei

    (Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China)

  • Yuwei Jiao

    (Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China)

  • Qi Wang

    (Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China)

Abstract

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.

Suggested Citation

  • Daigang Wang & Yong Li & Jing Zhang & Chenji Wei & Yuwei Jiao & Qi Wang, 2019. "Improved CRM Model for Inter-Well Connectivity Estimation and Production Optimization: Case Study for Karst Reservoirs," Energies, MDPI, vol. 12(5), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:816-:d:210108
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    References listed on IDEAS

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    1. Rafael Wanderley de Holanda & Eduardo Gildin & Jerry L. Jensen & Larry W. Lake & C. Shah Kabir, 2018. "A State-of-the-Art Literature Review on Capacitance Resistance Models for Reservoir Characterization and Performance Forecasting," Energies, MDPI, vol. 11(12), pages 1-45, December.
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    Cited by:

    1. Mehrdad Massoudi, 2020. "Mathematical Modeling of Fluid Flow and Heat Transfer in Petroleum Industries and Geothermal Applications," Energies, MDPI, vol. 13(6), pages 1-4, March.
    2. Suqi Huang & Ailin Jia & Xialin Zhang & Chenhui Wang & Xiaomin Shi & Tong Xu, 2023. "Application of Inter-Well Connectivity Analysis with a Data-Driven Method in the SAGD Development of Heavy Oil Reservoirs," Energies, MDPI, vol. 16(7), pages 1-17, March.

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