Petroleum Science >2023, Issue2: - DOI: https://doi.org/10.1016/j.petsci.2022.09.037
Assessing reservoir connectivity with pressure/rate surveillance data Open Access
文章信息
作者:G.F.J. Al-Khmaysawee, Z. Reza, C.S. Kabir
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投稿时间:
引用方式:G.F.J. Al-Khmaysawee, Z. Reza, C.S. Kabir, Assessing reservoir connectivity with pressure/rate surveillance data, Petroleum Science, Volume 20, Issue 2, 2023, Pages 1077-1086, https://doi.org/10.1016/j.petsci.2022.09.037.
文章摘要
Abstract: Estimating reservoir connectivity is critical for assessing infill-drilling prospects and initiating fluid injection in enhanced oil recovery operations. Several methods have appeared in the literature over decades to meet these business needs, given that all tools, including seismic imaging, have limitations. Besides imaging, geochemical fingerprinting constitutes a powerful tool to gauge the compartmentalization question. However, real-time pressure/rate surveillance data allows assessing interwell connectivity vis-à-vis the overall drainage volume. This study presents a simplified approach to using the reciprocal-productivity index (RPI) vs. the total-material-balance time (t¯TMB) plot. This tool exhibits the same slope for those wells in the same compartment beyond the start of the boundary-dominated flow (BDF) period. The wells showing different slopes imply that they are in separate drainage volumes. The early-time transient period remains muted to minimize confusion on this Cartesian plot. We validated the proposed tool's efficacy with 2D and 3D models with increased degrees of reservoir complexity, followed by the verification phase with four field examples. The use of other analytical tools complemented our findings.
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Keywords: Reservoir compartmentalization; Reciprocal-productivity index; Total material-balance time; Analysis of boundary-dominated flow period