Optimizing Reservoir Surveillance by Using Streamlines and the Microcomputer
- W.A. Flanders (Transpetco Engineering of the Southwest Inc.) | G.R. Bates (Murphy Oil USA Inc.)
- Document ID
- Society of Petroleum Engineers
- Petroleum Industry Application of Microcomputers, 23-26 June, Lake Conroe, Texas
- Publication Date
- Document Type
- Conference Paper
- 1987. Society of Petroleum Engineers
- 5.3.2 Multiphase Flow, 5.1.5 Geologic Modeling, 5.5.7 Streamline Simulation, 5.2.1 Phase Behavior and PVT Measurements, 5.6.9 Production Forecasting, 5.5 Reservoir Simulation, 3.3 Well & Reservoir Surveillance and Monitoring
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Oil production over the last several decades has become more dependent upon secondary and tertiary recovery techniques. There have been significant advances in the use of reservoir modeling to help design and evaluate these processes. Unfortunately, there have not been similar advances made in the tools for reservoir surveillance. Injection costs can be the major factor contributing to the profit or loss of a project, therefore creating the need to maximize injection efficiency.
Combining streamlining techniques with the micro-computer can result in an invaluable reservoir surveillance aid. A streamline program can be used to generate an allocation matrix not only for each pattern but also for each fractional pattern. The allocation matrix can then be used with other programs to distribute the production and injection to each well and fractional pattern. Monitoring the project on a fractional pattern basis enables the reservoir surveillance engineer to promptly identify potential problems and to make modifications as necessary to maximize profitability. The injection-withdrawal ratio can be evaluated for each fractional pattern, for individual wells, or for the entire project. Injection requirements can be determined more precisely for each well to maximize utilization of the injectant and minimize costly recycling.
This paper reviews how a streamline model has been integrated with an allocation program on a micro-computer to maximize reservoir surveillance.
Streamlines have been used for many years in the oil and gas industry to determine optimum injection patterns, estimate areas of sweep and to make production forecasts. The development of streamline modeling has been discussed in detail by: Caudle, LeBlanc, Lin, and Wessels. The interested reader should consult these references for a more detailed explanation of streamline modeling. Most streamline models can be modified to generate production and injection allocation parameters used for surveillance of injection projects. The purpose of this paper is to show how a streamline model can be modified to be used by the project engineer as a surveillance tool.
Most streamline models utilize a reverse tracking method to follow the streamlines backwards from the producing wells to the individual injection wells. With the addition of a single square matrix, dimensioned for the total number of wells in the streamline model, the program can be utilized to develop a production and injection allocation matrix.
Referring to Figure 1, the diagonal of the allocation matrix contains the total number of streamlines for an individual producing well. Injection wells are identified by a zero value for their diagonal entry. For example, in Figure 1 Wells #1 through 6 are producing wells and Wells #7 through 9 are injection wells. Well #1 at location 1-1 indicates that there are a total of five (5) streamlines radiating from this producing well.
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