Micropore Network Modeling from 2D Confocal Imagery: Impact on Reservoir Quality and Hydrocarbon Recovery

T. D. Jobe, Sebastian Geiger, Zeyun Jiang, Shuo Zhang, S. Agar

Research output: Contribution to journalArticle

4 Citations (Scopus)
94 Downloads (Pure)

Abstract

Microporosity in carbonate reservoirs is globally pervasive and commonly used to explain high porosity, low permeability reservoirs, higher than expected water saturations, low resistivity pay zones and poor sweep efficiency. The potential for micropores to store and produce hydrocarbons has long been recognized, yet limitations on tools to evaluate microporosity prevented rigorous evaluation. Here we demonstrate a workflow for evaluating microporosity through a combination of laser scanning confocal microscopy (LSCM) and pore network modeling. Specific values for microporosity and permeability calculated in our study should not be applied explicitly, as these are simulated values, but they demonstrate the viability of micropore networks to store and flow hydrocarbons. Carbonate reservoir assessment is critical not only in the petroleum industry, but also for applications in hydrothermal and mineral resources, carbon capture and storage, and groundwater supply. This approach can be applied to understand the potential for any reservoir to hold and transmit fluids.
Original languageEnglish
Pages (from-to)323-334
Number of pages12
JournalPetroleum Geoscience
Volume24
Issue number3
Early online date24 Oct 2017
DOIs
Publication statusPublished - Aug 2018

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