Abstract
The calculation of oil reserves (estimate ultimate recovery, EUR) is required for reservoir management. It is important to differentiate between oil reserves and oil resources. The latter is roughly defined as the sum of recoverable and unrecoverable volumes of oil in place; whereas, the oil reserves can be defined as those amounts of oil anticipated to be commercially recoverable from a given date under defined conditions. However, there is always uncertainty when making reserve estimates, and the main source of uncertainty is the lack of available geological data. Depending on the quantity and quality of the available data, different methods are used for the evaluation of the EUR. A number of essentially straight-line extrapolation techniques (production data analysis) have been proposed to estimate the EUR for oil and gas wells. Thus, a detailed analysis of past performance of oil and water production data is required in order to predict the future performance of the oil and gas wells. This work utilized seven straight-line extrapolation techniques to estimate and compare the values of EUR of three oil wells from the same reservoir. The comparison shows very similar estimated EUR. Doi: 10.28991/HIJ-2022-03-01-09 Full Text: PDF
Highlights
Depending on the quantity and quality of the available data, different methods are used for the evaluation of the estimated ultimate recovery (EUR)
The calculation of expected initial oil in place and estimated ultimate recovery (EUR) of oil and gas wells are required for evaluation and reservoir management purposes
Depending on the quantity and quality of the available data, different methods are used for the evaluation of the EUR [1,2,3]
Summary
The calculation of expected initial oil in place and estimated ultimate recovery (EUR) of oil and gas wells are required for evaluation and reservoir management purposes. There are six methods available in the literature to estimate the oil and gas reserves; Volumetric Method [4], Material Balance Method [5], Production Decline Analysis (DCA) [6], Type Curve Analysis (TCA) [7], Numerical Simulation Method [8], Water Oil Ratio (WOR) [9] data analysis. A number of essentially empirical methods have been proposed in the literature to evaluate the waterflood performance and to calculate the EUR that consider the linearity of late-time behavior of the WOR. The objective of those efforts was to provide a semi-analytical representation for natural water drive and/or waterflooding mechanisms in oil production. It was confirmed by Ben Mahmud et al (2016) [11] and Busahmin et al (2017) [12] that when production wells were drilled and completion properly, they show a significant impact on the oil recovery
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