Estimation of in Place Hydrocarbon Volume in Multilayered Reservoirs Using Deterministic and Probabilistic Approaches

Abstract

This paper presents the results of the calculation techniques used for estimation of hydrocarbon initially in place for a multilayered gas reservoir located in the Persian Gulf via two methodologies. The porosity, water saturation, and net pay raw datasets for six wells enclosed within the studied area are thoroughly examined and fed to the deterministic and probabilistic calculation algorithms and the results are compared. In order to include the probable effects of the uncertainties associated with reservoir characterization, two distinct methodologies are developed and incorporated in both types of the calculation processes. In the first methodology, total hydrocarbon volume is calculated in one stage, while in another, hydrocarbon volume estimation have been carried out separately in each producing layer; then, summing them to estimate total hydrocarbon volume. The prominent conclusion of this research indicates that the second developed method in both deterministic and probabilistic conditions presents more reliable results for hydrocarbon volume estimation.

Cephy: Astand-alone, free and open-source toolkitfor hydrocarbon in place evaluation by ordinary kriging

“…The estimation of the volume of hydrocarbon in a reservoir is a core task in the upstream petroleum industry, and it provides the basis for a field development plan [1][2][3]. Two types of methods are used for evaluating the volume of hydrocarbon in place (HIP): volumetric methods and dynamic methods [4,5].…”

Application of Fuzzy Classifier Fusion in Determining Productive Zones in Oil Wells

“…Conventionally, petroleum engineers divide whole drilled interval to pay (productive) and non-pay zones. Accuracy of pay determination is critical in estimating Hydrocarbon Initially in Place (HCIIP), which is really important in reservoir evaluation (Masoudi et al, 2011). This crisp pay determination usually is done by picking up some intervals that contain high values of porosity and low values of water saturation and shale percent.…”