TY - GEN
T1 - Analytical pore network approach (apna) for rapid estimation of capillary pressure behaviour in rock samples
AU - Rabbani, H.
AU - Guerillot, D.
AU - Seers, T.
N1 - Publisher Copyright:
Copyright © ECMOR 2020. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Capillary pressure measurements are an integral part of special core analysis (SCAL) to which oil and gas industry greatly rely on. Reservoir engineers implement these macroscopic properties in simulators to determine the amount of hydrocarbons as well as the flowing capacity of fluids in the reservoir. Despite their importance, conventional laboratory techniques used to measure capillary pressure curves of core samples are expensive, tedious, time-consuming and prone to error. Motivated by the importance of capillary pressure measurements in oil and gas industry, here we propose a novel methodology called Analytical Pore Network Approach (APNA) that can provide a reliable forecast of capillary pressure using pore-scale 3D images of reservoir rocks. The proposed approach provides oil and gas companies inexpensive, fast and accurate estimation of capillary pressure data, and reduces the number of required laboratory experiments and facilitates the estimation of such properties from uncored sections of the reservoir (i.e. using drill cuttings).
AB - Capillary pressure measurements are an integral part of special core analysis (SCAL) to which oil and gas industry greatly rely on. Reservoir engineers implement these macroscopic properties in simulators to determine the amount of hydrocarbons as well as the flowing capacity of fluids in the reservoir. Despite their importance, conventional laboratory techniques used to measure capillary pressure curves of core samples are expensive, tedious, time-consuming and prone to error. Motivated by the importance of capillary pressure measurements in oil and gas industry, here we propose a novel methodology called Analytical Pore Network Approach (APNA) that can provide a reliable forecast of capillary pressure using pore-scale 3D images of reservoir rocks. The proposed approach provides oil and gas companies inexpensive, fast and accurate estimation of capillary pressure data, and reduces the number of required laboratory experiments and facilitates the estimation of such properties from uncored sections of the reservoir (i.e. using drill cuttings).
UR - http://www.scopus.com/inward/record.url?scp=85099607571&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.202035051
DO - 10.3997/2214-4609.202035051
M3 - Conference contribution
AN - SCOPUS:85099607571
T3 - ECMOR 2020 - 17th European Conference on the Mathematics of Oil Recovery
BT - ECMOR 2020 - 17th European Conference on the Mathematics of Oil Recovery
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 17th European Conference on the Mathematics of Oil Recovery, ECMOR 2020
Y2 - 14 September 2020 through 17 September 2020
ER -