The impact of geological uncertainty on primary production from a fluvial reservoir

Abstract

Deposition of fluvial sandbodies is controlled mainly by characteristics of the system, such as the rate of avulsion and aggradation of the fluvial channels and their geometry. The impact and the interaction of these parameters have not received adequate attention. In this paper, the impact of geological uncertainty resulting from the interpretation of the fluvial geometry, maximum depth of channels, and their avulsion rates on primary production is studied for fluvial reservoirs. Several meandering reservoirs were generated using a process-mimicking package by varying several controlling factors. Simulation results indicate that geometrical parameters of the fluvial channels impact cumulative production during primary production more significantly than their avulsion rate. The most significant factor appears to be the maximum depth of fluvial channels. The overall net-to-gross ratio is closely correlated with the cumulative oil production of the field, but cumulative production values for individual wells do not appear to be correlated with the local net-to-gross ratio calculated in the vicinity of each well. Connectedness of the sandbodies to each well, defined based on the minimum time-of-flight from each block to the well, appears to be a more reliable indicator of well-scale production.

Multiscale Modeling of Meandering Fluvial Reservoir Architecture Based on Multiple-Point Geostatistics: A Case Study of the Minghuazhen Formation, Yangerzhuang Oilfield, Bohai Bay Basin, China

“…Its heterogeneity in fluid flow occurs within point bars, and it is related to the development degree of lateral accretion layers and affects the variation of porosity and permeability [9,10]. Previous studies have focused on the sedimentary structure and lithologic heterogeneity in fluvial depositional systems, but little attention has been focused on the heterogeneity at the architectural element scale, especially the heterogeneity variation in model parameters [11][12][13][14]. Mesoscale heterogeneity in architectural elements becomes critical at extending reservoir production periods due to the increased sensitivity of fluid migration to smaller-scale heterogeneity.…”

Enduring effect of permeability texture for enhancing accuracy and reducing uncertainty of reservoir fluid flow through porous media

“…will cause better prediction of hydrocarbon production from oil/gas fields (Ringrose and Bentley 2016;Kargozarfard et al 2019). New insights Edited by Yan-Hua Sun into many geoscience problems, and especially those in the petroleum industry, are brought by accounting for the spatial relationships of the reservoir property data (Rezaee et al 2013;Koneshloo et al 2018;Yang et al 2016). This is routinely done via kriging-based methods including the sequential Gaussian simulation.…”