SPE Annual Technical Conference and Exhibition 1994
DOI: 10.2118/28406-ms
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New Cumulative Rate Convolution Analysis for Closed Chamber Test

Abstract: Closed Chamber Test has aroused much interest recently for its short test time, simple operation and sound safety. However, variable wellbore conditions and rapidly changing sandface rate make interpretation difficult. In this work, the conception of effective wellbore storage coefficient proposed by Xiao and Reynolds1 is extended to obtain analytical functions of chamber gas pressure, effective wellbore storage and cumulative rate for a CCT. The influence of varying tool and reservoir parameters is discussed … Show more

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Cited by 4 publications
(3 citation statements)
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“…Various ways of interpreting this type of data have been presented, aiming at inverting the convolution principle from flow-rate measurements. Zhan et al 6 offered a contribution on that subject, as well as a comprehensive review.…”
Section: Methodsmentioning
confidence: 99%
“…Various ways of interpreting this type of data have been presented, aiming at inverting the convolution principle from flow-rate measurements. Zhan et al 6 offered a contribution on that subject, as well as a comprehensive review.…”
Section: Methodsmentioning
confidence: 99%
“…This variable flow rate presents a complicated condition for the development of pressure analysis techniques. The Impulse Testing and short producing time algorithms (Soliman, 1986;Ayoub et al, 1988) do not use any specific flow rate history in the data interpretation, while the convolution methods (Simmons, 1990;Tariq, 1989;Zhan et al, 1994) require accurate and detailed rate history. The former category often does not have adequate accuracy since the flow rate variation imposes its signature on the pressure data (Kuchuk, 1999).…”
Section: Mathematical Modelsmentioning
confidence: 99%
“…The solutions developed by assuming constant wellbore storage are unlikely to match the pressure history of a UPB test, so the interpretation results will not be reliable. The last category of the techniques relies on convolution formulae to estimate the formation properties for surge tests (Simmons, 1990;Tariq, 1989;Zhan et al, 1994). This type of solutions modifies the conventional convolution algorithms for variable flow rate tests (Meunier et al, 1985;Kuchuk and Ayestaran, 1985) to either accommodate the initial underbalanced condition or take advantage of the small flow rate at late test time in handling skin during a surge test.…”
Section: Introductionmentioning
confidence: 99%