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• W1965559633 abstract "Abstract This paper describes a technique for accurately predicting gas deliverability from a multi-well gas predicting gas deliverability from a multi-well gas reservoir. The computer program listed in APPENDIX A will simulate a gathering system which has a gas reservoir being drained with multiple wells and compressor stations - for example, an offshore gas reservoir being exploited by several platforms with each platform having its own compression facilities. By using this program, Marathon Oil Company has been able to quickly program, Marathon Oil Company has been able to quickly and accurately predict gas deliverability from an offshore gas field located in the Gulf of Mexico with varying horsepower availability at each compressor facility as well as account for increased well deliverability resulting from workovers, well recompletions, stimulations, etc. Introduction A problem which has been faced by many production and reservoir engineering departments is how to predict future gas deliverability under various compress facility horsepower requirements and to economically optimize ultimate recovery from the gas reservoir consideration. Most gas reservoirs ultimately require some degree of compression during exploitation. One complication which often arises relates to the evaluation of a gas reservoir which is being drained by competitive operators - how to retain an equitable share of the gas reserves. This paper addresses the problem of predicting future gas deliverability by describing the development of a computer program which utilizes a pseudo back-pressure curve and a generalized formula for gas compression by a centrifugal compressor. It shows how changes in available compression horsepower can effect overall gas recovery and thus an operator's equity position when dealing with a non-unitized gas reservoir position when dealing with a non-unitized gas reservoir being drained by one or more offset operators. By use of the computer program listed in APPENDIX A, an operator can quickly and accurately evaluate future deliverability from a gas reservoir under various modes of operation including effects of increased well deliverability resulting from workovers, well recompletions, stimulations, etc. An example of the application of this technique by Marathon Oil Company is described in a field case history. THEORY The gas deliverability prediction technique presented in this paper is based upon the following presented in this paper is based upon the following assumptions and concepts:the gas reservoir has a general, depletion-type recovery mechanism with little, if any, water influxutilization of a pseudo back-pressure curvemultiple linear regression to correlate gas flow rate at the surface, reservoir pressure and inlet suction pressure for the compression facilitya generalized formula for gas compression taking into account such variables as gas K-values, overall compressor efficiency, horsepower, pipeline pressure, etc.well deliverability is not a limiting factor. The gas reservoir under evaluation must be a depletion-type with negligible water influx. If the deliverability study is conceptual in nature, geology should be sufficiently well defined to permit an accurate estimate of G (original gas-in-place) to be used with the original reservoir pressure to develop a P/Z vs. Gp plot. If historical production/pressure data are available, a plot of P/Z vs. Gp should result in a straight line with the X-intercept (at P/Z = 0) equal to G as illustrated by Figure 1. In addition, a plot of P/Z vs. P RES (reservoir pressure, psia) is required for utilization of this technique. Performance of a well completed in a natural gas reservoir is directly related to reservoir rock properties, fluid properties, drainage area and distribution properties, fluid properties, drainage area and distribution of the pressure transients within the drainage area." @default.
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• W1965559633 date "1980-09-21" @default.
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• W1965559633 title "Prediction Of Deliverability From A Multi - Well Gas Reservoir" @default.
• W1965559633 doi "https://doi.org/10.2118/9322-ms" @default.
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