What is it about?
Therearebasicallytwoissuesthatpracticallyarise in applying decline curve analysis, particularly in boundary-dominated flow dry gas wells. First, it has been noted that it is difficult to match a decline exponent, especially at an early stage of well depletion, even with worthy quality data. Secondly, decline exponent is not constant from observation, but changes with declining production. So, the study has provided a new method based on numerical curve fitting to accurately match the Arps’ decline curve function, even at the early depletion stage, and account for the changing decline exponent. Once the match objective is satisfied, future predictions can be made with a reasonable degree of assurance.
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Why is it important?
Fit the hyperbolic form of the Arps’ decline curve function and provide a new method to accurately match the Arps’ decline curve function. Once the match objective is satisfied, future predictions can be made with a reasonable degree of assurance. This has removed the trial-and-error method of selecting the type of decline to fit during decline curve analysis. To Predict that at the early or transient period of the dry gas reservoir that the slope is steeper than at the latter period of the reservoir as predicted by the decline curve analysis.
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This page is a summary of: Reserve Estimation Using Decline Curve Analysis for Boundary-Dominated Flow Dry Gas Wells, Arabian Journal for Science and Engineering, February 2019, Springer Science + Business Media,
DOI: 10.1007/s13369-019-03749-2.
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