1987
DOI: 10.2118/13169-pa
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Decline-Curve Analysis Using type Curves—Case Histories

Abstract: Summary The purpose of this paper is to present case history studies that demonstrate methods of analyzing rate-time data to predict future production and to determine reservoir variables. Constant wellbore pressure analysis techniques are demonstrated, using pressure analysis techniques are demonstrated, using existing qDd - tDd type curves along with developing new qDd - tDd type curves from actual field data. Case histories for individual oil and gas wells are presented, … Show more

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Cited by 246 publications
(124 citation statements)
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“…P wD closed circular boundary represents for the pressure response caused by the circular-bounded formation. The effect of closed circular boundary on pressure response can be calculated by [30]:…”
Section: Mathematical Modelmentioning
confidence: 99%
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“…P wD closed circular boundary represents for the pressure response caused by the circular-bounded formation. The effect of closed circular boundary on pressure response can be calculated by [30]:…”
Section: Mathematical Modelmentioning
confidence: 99%
“…Arps first presented an empirical production correlation to match the rate history and predict future performance during the boundary-dominated flow regime [28]. Fetkovich extended Arps' work by introducing transient-flow equations into rate decline analysis in the radial-flow system similar with PTA, and further developed a set of type curves for decline curve analysis [29,30]. Chen and Teufel expanded the Fetkovich's curves to cover the linear-flow condition [31].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the decline curve analysis is widely used in shale gas economic models. The most commonly used trending equation is the on first documented by Arps, the Arps decline curve [25,26]. The general form of Arps' suggested decline curve is:…”
Section: Revenuementioning
confidence: 99%
“…This is a forecasting technique which predicts by history matching of rate-time data on an appropriate typecurve. What direction to take, what typecurve(s) to choose and where the rate-time data should fit are decided based on basic reservoir engineering concepts and knowledge (Fetkovich 1980;Fetkovich et al 1987). So DCA is not based on applying a purely empirical equation to be analyzed with statistical approaches which often leads to unrealistic and unreliable forecast and reserve estimate (Fetkovich et al 1996).…”
Section: Rate Transient Analysismentioning
confidence: 99%