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• W4242743998 abstract "A New Approach for Decline-Curve Analysis A.N. Duong A.N. Duong Gulf Canada Resources Ltd. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Production Operations Symposium, Oklahoma City, Oklahoma, March 1989. Paper Number: SPE-18859-MS https://doi.org/10.2118/18859-MS Published: March 13 1989 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Duong, A.N. A New Approach for Decline-Curve Analysis. Paper presented at the SPE Production Operations Symposium, Oklahoma City, Oklahoma, March 1989. doi: https://doi.org/10.2118/18859-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Oklahoma City Oil and Gas Symposium / Production and Operations Symposium Search Advanced Search AbstractThis paper presents a new approach which can be used for the computer-automated curve fitting for decline curve analysis. Arps' empirical-decline-curve equations for the exponential, hyperbolic and harmonic solutions are manipulated to produce a single relation which is a linear combination of variables: q, Np and qt. A linear multiple regression is performed for these variables to obtain optimal coefficients of the relation which are related to qi, Di and b in Arps' equations. Once qi, Di and b are known, the future production rate can be determined. Thus, the type-curve matching is not needed. The proposed approach is, therefore, useful in application of the computer-aided analysis for the production forecast for oil and gas wells.IntroductionIn decline curve analysis, two methods which are commonly used among the practice engineers are the statistical or least-square approach and the log-log type curve analysis. These approaches are usually based on the empirical exponential, hyperbolic and harmonic decline curve equations developed by Arps To use the least square approach, one must assume the type of decline such as exponential, hyperbolic or harmonic before the mathematical curve fitting technique can be performed. This assumption is inconvenient and time-consuming. The type-curve analysis also has some disadvantages due to the non-uniqueness problem in type-curve matching and the difficulties in the application of computer-aided analysis. In this paper, a new approach is proposed so that the computer-automated curve fitting can be performed for decline curve analysis. A linear performed for decline curve analysis. A linear multiple regression is performed for the variables of q, Np and qt to obtain optimal values of qi, Di and b in Arps' equations. This approach is based on the Arps' equation. Therefore, it is applied only to rate-time data that indicate depletion.METHODNearly all decline curve analysis is based on the empirical rate-time equations given by Arps as q = qi (1+bDit) -1/b....................(1)P. 327 Keywords: multiple regression, application, decline-curve analysis, layer 1, production rate, equation, regression, production monitoring, society of petroleum engineers, computer-automated curve fitting Subjects: Well & Reservoir Surveillance and Monitoring, Formation Evaluation & Management, Production forecasting This content is only available via PDF. 1989. Society of Petroleum Engineers You can access this article if you purchase or spend a download." @default.
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• W4242743998 title "A New Approach for Decline-Curve Analysis " @default.
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