Novel Application of Capacitance-Resistance Model for Reservoir Characterisation and Zonal, Intelligent Well Control

Bona Prakasa, Xiang Shi, Khafiz Muradov, David Davies

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Numerical reservoir simulation is a valuable, computationally expensive, tool for the design, evaluation and operation of hydrocarbon fields. Such reservoir models are complex, time consuming to build, yet uncertain; being based on limited information. The use of alternative models based on the field's production history data to reliably quantify inter-well connectivity and support well control decisions is preferred. This paper extends their application to a field with Intelligent production Wells (IWs) equipped with downhole monitoring and flow control. A field with IWs is a natural candidate for closed-loop, reservoir model update and field optimisation. The Capacitance-Resistance Model (CRM), one type of data-driven models, has proved to be effective for making well production optimisation decisions in a single-layer, mature, water flooded reservoirs. This study extends the application of CRMs to a multiple-layer, heterogeneous reservoir being developed by IWs. The optimisation strategy was further extended to include both injection and production control at the level of an IW zone. The resulting, CRM-based, proactive optimisation strategy using zonal production/ injection history data proved to be capable of delaying water breakthrough and increasing recovery. This paper describes and compares the reliability of three CRMs in synthetic, single-and multi-layer, reservoir models. The optimum CRM complexity is a function of the reservoir's geological complexity and the complexity of the chosen optimisation strategy. The CRM calculated inter-well, layer connectivity results can be used to suggest changes to the operation of one or more IW zone's injection or production rate. The CRM can be updated once sufficient further injection and production data has accumulated. A comprehensive CRM-based, closed-loop workflow of data gathering, history matching and optimisation has thus been described. The workflow, programmed as a spreadsheet, is a complementary tool to numerical reservoir simulation, providing insights into both reservoir characterization and production control in intelligent and conventional field developments.

Original languageEnglish
Title of host publicationSPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition 2017
PublisherSociety of Petroleum Engineers
ISBN (Print)9781613995389
DOIs
Publication statusPublished - 17 Oct 2017
EventSPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition 2017 - Jakarta, Indonesia
Duration: 17 Oct 201719 Oct 2017

Conference

ConferenceSPE/IATMI Asia Pacific Oil and Gas Conference and Exhibition 2017
CountryIndonesia
CityJakarta
Period17/10/1719/10/17

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geochemistry and Petrology
  • Fuel Technology

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