LAPSE:2023.6170
Published Article

LAPSE:2023.6170
Study on Microscopic Pore Structure Classification for EOR of Low Permeability Conglomerate Reservoirs in Mahu Sag
February 23, 2023
Abstract
The microscopic pore structure controls the fluid seepage characteristics, which in turn affect the final recovery of the reservoir. The pore structures of different reservoirs vary greatly; therefore, the scientific classification of microscopic pore structures is the prerequisite for enhancing the overall oil recovery. For the low permeability conglomerate reservoir in Mahu Sag, due to the differences in the sedimentary environment and late diagenesis, various reservoir types have developed in different regions, so it is very difficult to develop the reservoir using an integrated method. To effectively solve the problem of microscopic pore structure classification, the low permeability conglomerate of the Baikouquan Formation in Well Block Ma18, Well Block Ma131, and Well Block Aihu2 are selected as the research objects. The CTS, HPMI, CMI, NMR, and digital cores are used to systematically analyze the reservoir micro pore structure characteristics, identify the differences between different reservoir types, and optimize the corresponding micro pore structure characteristic parameters for reservoir classification. The results show that the pore types of the low permeability conglomerate reservoir in the Baikouquan Formation of the Mahu Sag are mainly intragranular dissolved pores and residual intergranular pores, accounting for 93.54%, microfractures and shrinkage pores that are locally developed, accounting for 5.63%, and other pore types that are less developed, accounting for only 0.83%. On the basis of clear pore types, the conglomerate reservoir of the Baikouquan Formation is divided into four types based on the physical properties and microscopic pore structure parameters. Different reservoir types have good matching relationships with lithologies. Sandy-grain-supported conglomerate, gravelly coarse sandstone, sandy-gravelly matrix-supported conglomerate, and argillaceous-supported conglomerate correspond to type I, II, III, and IV reservoirs, respectively. From type I to type IV, the corresponding microscopic pore structure parameters show regular change characteristics, among which, porosity and permeability gradually decrease, displacement pressure and median pressure increase, maximum pore throat radius, median radius, and average capillary radius decrease, and pore structure becomes worse overall. Apparently, determining the reservoir type, clarifying its fluid migration rule, and formulating a reasonable development plan can substantially enhance the oil recovery rate of low permeability conglomerate reservoirs.
The microscopic pore structure controls the fluid seepage characteristics, which in turn affect the final recovery of the reservoir. The pore structures of different reservoirs vary greatly; therefore, the scientific classification of microscopic pore structures is the prerequisite for enhancing the overall oil recovery. For the low permeability conglomerate reservoir in Mahu Sag, due to the differences in the sedimentary environment and late diagenesis, various reservoir types have developed in different regions, so it is very difficult to develop the reservoir using an integrated method. To effectively solve the problem of microscopic pore structure classification, the low permeability conglomerate of the Baikouquan Formation in Well Block Ma18, Well Block Ma131, and Well Block Aihu2 are selected as the research objects. The CTS, HPMI, CMI, NMR, and digital cores are used to systematically analyze the reservoir micro pore structure characteristics, identify the differences between different reservoir types, and optimize the corresponding micro pore structure characteristic parameters for reservoir classification. The results show that the pore types of the low permeability conglomerate reservoir in the Baikouquan Formation of the Mahu Sag are mainly intragranular dissolved pores and residual intergranular pores, accounting for 93.54%, microfractures and shrinkage pores that are locally developed, accounting for 5.63%, and other pore types that are less developed, accounting for only 0.83%. On the basis of clear pore types, the conglomerate reservoir of the Baikouquan Formation is divided into four types based on the physical properties and microscopic pore structure parameters. Different reservoir types have good matching relationships with lithologies. Sandy-grain-supported conglomerate, gravelly coarse sandstone, sandy-gravelly matrix-supported conglomerate, and argillaceous-supported conglomerate correspond to type I, II, III, and IV reservoirs, respectively. From type I to type IV, the corresponding microscopic pore structure parameters show regular change characteristics, among which, porosity and permeability gradually decrease, displacement pressure and median pressure increase, maximum pore throat radius, median radius, and average capillary radius decrease, and pore structure becomes worse overall. Apparently, determining the reservoir type, clarifying its fluid migration rule, and formulating a reasonable development plan can substantially enhance the oil recovery rate of low permeability conglomerate reservoirs.
Record ID
Keywords
EOR, low permeability conglomerate, Mahu Sag, microscopic pore structure, reservoir classification
Subject
Suggested Citation
Wang Y, Zhao X, Tang C, Zhang X, Ma C, Yi X, Tan F, Zhao D, Li J, Jing Y. Study on Microscopic Pore Structure Classification for EOR of Low Permeability Conglomerate Reservoirs in Mahu Sag. (2023). LAPSE:2023.6170
Author Affiliations
Wang Y: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Zhao X: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Tang C: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Zhang X: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Ma C: Key Laboratory Computational Geodynamics, Chinese Academy of Sciences, Beijing 100049, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China [ORCID]
Yi X: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Tan F: Key Laboratory Computational Geodynamics, Chinese Academy of Sciences, Beijing 100049, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Zhao D: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Li J: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Jing Y: Key Laboratory Computational Geodynamics, Chinese Academy of Sciences, Beijing 100049, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China [ORCID]
Zhao X: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Tang C: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Zhang X: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Ma C: Key Laboratory Computational Geodynamics, Chinese Academy of Sciences, Beijing 100049, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China [ORCID]
Yi X: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Tan F: Key Laboratory Computational Geodynamics, Chinese Academy of Sciences, Beijing 100049, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
Zhao D: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Li J: Xinjiang Oilfield Company, PetroChina, Karamay 834000, China
Jing Y: Key Laboratory Computational Geodynamics, Chinese Academy of Sciences, Beijing 100049, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China [ORCID]
Journal Name
Energies
Volume
16
Issue
2
First Page
626
Year
2023
Publication Date
2023-01-04
ISSN
1996-1073
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Original Submission
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PII: en16020626, Publication Type: Journal Article
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LAPSE:2023.6170
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https://doi.org/10.3390/en16020626
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