Application of fast reservoir simulation methods to optimize production by reallocation of water injection rates in an omani field

A. Al Saidi, P. Pourafshary, M. Al Wadhahi

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

3 Citations (Scopus)

Abstract

There are wide and crucial applications of the reservoir simulation to develop, manage and monitor reservoirs. However, the traditional simulation methods have different limitations such as noticeable necessary time to prepare and model data and uncertainties in the available data. Therefore, new approaches are developed to offer rapid reservoir simulation with lower and more reliable data to manage and optimize production from hydrocarbon reservoirs and provide us a quick estimation of the performance of the reservoirs. One of these approaches is the Capacitance-Resistive Model (CRM). CRM is a quantitative technique based on material balance that uses only injection/production rates and well coordinates to identify and quantify reservoir model parameters, which are well connectivity and time constant values. In CRM, the reservoir is assumed as a system where the injection rates are the input signals and the production rates are the output signals. The injection performance over a period of time can be identified by estimating fractions of injected fluid to each producer and the time taken for a producer to sense the injections. With CRM, it is possible to optimize a waterflooding operation in a field by reallocating the water injection rates to optimize the oil production. This tool is preferred due to its simplicity, the short computation time and the use of available field data. In this study, we developed a new approach to use the Capacitance Resistive method to optimize the waterflooding process in an Omani oil field by a ranking approach for the injectors. By reallocation of the available water to injectors, the future oil production was optimized for the next three years. This method showed that the optimized scenario leads to 29.90% increase in future oil production compared to the current injection rates profile. This was achieved by injecting 59% of available water for most effective wells and the remaining amount for other wells.

Original languageEnglish
Title of host publication19th Middle East Oil and Gas Show and Conference, MEOS 2015
PublisherSociety of Petroleum Engineers (SPE)
Pages1173-1181
Number of pages9
Volume2015-January
ISBN (Electronic)9781510803657
DOIs
Publication statusPublished - Jan 1 2015
Externally publishedYes
Event19th Middle East Oil and Gas Show and Conference, MEOS 2015 - Manama, Bahrain
Duration: Mar 8 2015Mar 11 2015

Publication series

NameSPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings
Volume2015-January

Conference

Conference19th Middle East Oil and Gas Show and Conference, MEOS 2015
CountryBahrain
CityManama
Period3/8/153/11/15

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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    Al Saidi, A., Pourafshary, P., & Al Wadhahi, M. (2015). Application of fast reservoir simulation methods to optimize production by reallocation of water injection rates in an omani field. In 19th Middle East Oil and Gas Show and Conference, MEOS 2015 (Vol. 2015-January, pp. 1173-1181). (SPE Middle East Oil and Gas Show and Conference, MEOS, Proceedings; Vol. 2015-January). Society of Petroleum Engineers (SPE). https://doi.org/10.2118/172633-ms