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

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.
LanguageEnglish
Pages323-334
Number of pages12
JournalPetroleum Geoscience
Volume24
Issue number3
Early online date24 Oct 2017
DOIs
StatePublished - Aug 2018

Fingerprint

imagery
hydrocarbon
modeling
permeability
carbonate
mineral resource
microscopy
electrical resistivity
viability
laser
porosity
saturation
groundwater
fluid
carbon
water

Cite this

@article{8528507d79a04fd894a1596340dd809b,
title = "Micropore Network Modeling from 2D Confocal Imagery: Impact on Reservoir Quality and Hydrocarbon Recovery",
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.",
author = "Jobe, {T. D.} and Sebastian Geiger and Zeyun Jiang and Shuo Zhang and S. Agar",
year = "2018",
month = "8",
doi = "10.1144/petgeo2017-017",
language = "English",
volume = "24",
pages = "323--334",
journal = "Petroleum Geoscience",
issn = "1354-0793",
publisher = "Geological Society of London",
number = "3",

}

Micropore Network Modeling from 2D Confocal Imagery: Impact on Reservoir Quality and Hydrocarbon Recovery. / Jobe, T. D.; Geiger, Sebastian; Jiang, Zeyun; Zhang, Shuo; Agar, S.

In: Petroleum Geoscience, Vol. 24, No. 3, 08.2018, p. 323-334.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Micropore Network Modeling from 2D Confocal Imagery: Impact on Reservoir Quality and Hydrocarbon Recovery

AU - Jobe,T. D.

AU - Geiger,Sebastian

AU - Jiang,Zeyun

AU - Zhang,Shuo

AU - Agar,S.

PY - 2018/8

Y1 - 2018/8

N2 - 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.

AB - 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.

U2 - 10.1144/petgeo2017-017

DO - 10.1144/petgeo2017-017

M3 - Article

VL - 24

SP - 323

EP - 334

JO - Petroleum Geoscience

T2 - Petroleum Geoscience

JF - Petroleum Geoscience

SN - 1354-0793

IS - 3

ER -