Digital rock-based investigation of conductivity mechanism in low-resistivity gas hydrate reservoirs: Insights from the Muli area's gas hydrates

Dong, Huaimin; Sun, Jianmeng; Arif, Muhammad; Zhang, Yihuai; Yan, Weibo; Iglauer, Stefan; Golsanami, Naser

doi:10.1016/j.petrol.2022.110988

Cited by 7 publications

(3 citation statements)

References 48 publications

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“…The original assumption in the application of the Archie formula was that only pore water conducts electricity in pure sandstone formations, while rock resistivity is only related to porosity and pore fluid saturation. However, for more complex sand-mudstone formations, except for pore water conductivity, clays with high irreducible water saturation and cation exchange ability also have a significant effect on resistivity (Golsanami et al 2022). Therefore, it is necessary to correct the influence of clay when calculating the water saturation of sand-mudstone formations.…”

Section: Introductionmentioning

confidence: 99%

Insights into the Multiscale Conductivity Mechanism of Marine Shales from Wufeng–Longmaxi Formation in the Southern Sichuan Basin of China

et al. 2023

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Section: Introductionmentioning

confidence: 99%

Insights into the Multiscale Conductivity Mechanism of Marine Shales from Wufeng–Longmaxi Formation in the Southern Sichuan Basin of China

et al. 2023

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“…3,4 In recent years, low-resistivity oil formations have been discovered in many countries, including Lagunillas formation in Venezuela, the Yegua formation in Texas in USA and the Chubut sandstone in Argentina, the Meruap oil field in Indonesia, the Tarim, Bohai Bay, Ordos, Songliao basins in China. [5][6][7][8] Due to low-resistivity oil pays in different regions have different geological backgrounds, the origins are more complicated and there are many controlling factors for the low-resistivity oil pays.…”

Section: Introductionmentioning

confidence: 99%

Genetic mechanisms and multi-parameter logging identification of low-resistivity oil pay: A case study of the Triassic Chang 6 member, Zhidan area, Ordos Basin, China

Wang

Zhu

Zhang³

2023

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Low-resistivity pay have been found throughout the world, the identification and characterization of low-resistivity pay is very challenging and important for the development of oil fields. The genesis of the low-resistivity oil pay is complex, and the logging response characteristics are variable. The weak difference in resistivity between the oil pay and the adjacent water pay makes it difficult to identify kinds of fluids by resistivity log analysis, which reduces the overall exploration benefit of the oilfield. Therefore, it is very important to study the genesis and identification technology of the low-resistivity oil pay. In this paper, we first analyzed the core experimental results such as X-ray diffraction scanning electron microscope, mercury intrusion, phase permeability, nuclear magnetic resonance, physical properties, electric petrophysical experiment, micro-CT technology and rock wettability, etc. Comprehensive analysis of the reservoir characteristics shows that the development of low-resistivity oil pays in the study area is controlled by irreducible water saturation and high gamma ray sandstone. The complicated pore structure and rock hydrophilicity are the factors that lead to the increase of irreducible water saturation. Then, the salinity of formation water and the invasion of drilling fluid also have a certain influence on the change of reservoir resistivity. According to the controlling factors of the low- resistivity oil pay, we extract the sensitive parameters to the logging response, amplify the difference between oil and water pay, and use the AC-RILD, SP-PSP, GR*GR*∆SP-RILD and(RILM-RILD)/RILD—RILD cross-plots, etc. Various methods such as cross-plots method, overlap method and movable water analysis are mutually constrained to identify low-resistivity oil pays. In the case study, the comprehensive application of the above identification flow path can effectively improve the accuracy of fluid recognition step by step. It provides reference for identifying more low-resistivity reservoirs with similar geological conditions.

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“… , In recent years, low-resistivity oil formations have been discovered in many countries, including Lagunillas formation in Venezuela, the Yegua formation in Texas in USA, the Chubut sandstone in Argentina, the Meruap oil field in Indonesia, and the Tarim, Bohai Bay, Ordos, and Songliao basins in China . − …”

Section: Introductionmentioning

confidence: 99%

Genetic Mechanisms and Multiparameter Logging Identification of Low-Resistivity Oil Pay: A Case Study of the Triassic Chang 6 Member, Zhidan Area, Ordos Basin, China

2023

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Low-resistivity pay has been found throughout the world. The causes and logging responses of low-resistivity reservoirs are complex and variable. The weak variations in resistivity between the oil pay and the adjacent water pay makes it difficult to identify fluids by resistivity log analysis, which reduces the overall exploration benefit of the oil field. Therefore, it is very important to study the genesis and logging identification technology of the low-resistivity oil pay. In this paper, we first analyzed the core results such as X-ray diffraction, scanning electron microscopy, mercury intrusion, phase permeability, nuclear magnetic resonance, physical properties, electric petrophysical experiment, micro-CT, rock wettability, etc. The results show that: ① the development of low-resistivity oil pays in the studied area is mainly controlled by irreducible water saturation. The complicated pore structure, high gamma ray sandstone, and rock hydrophilicity are the factors that lead to the increase of irreducible water saturation. ② The salinity of formation water and the invasion of drilling fluid also have a certain influence on the variation of reservoir resistivity. ③ In order to magnify the difference between oil and water, sensitive parameters of logging response are extracted according to the controlling factors of low- resistivity reservoir. Then, AC-R ILD, SP-PSP, GR*GR*ΔSP-RILD, and (R ILM-R ILD)/R ILDR ILD cross-plots, some overlap method, and movable water analysis are used to identify low-resistivity oil pays synthetically. In the case study, the comprehensive application of the above identification method can effectively improve the accuracy of fluid recognition step by step. It provides reference for identifying more low-resistivity reservoirs with similar geological conditions.

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Digital rock-based investigation of conductivity mechanism in low-resistivity gas hydrate reservoirs: Insights from the Muli area's gas hydrates

Cited by 7 publications

References 48 publications

Insights into the Multiscale Conductivity Mechanism of Marine Shales from Wufeng–Longmaxi Formation in the Southern Sichuan Basin of China

Insights into the Multiscale Conductivity Mechanism of Marine Shales from Wufeng–Longmaxi Formation in the Southern Sichuan Basin of China

Genetic mechanisms and multi-parameter logging identification of low-resistivity oil pay: A case study of the Triassic Chang 6 member, Zhidan area, Ordos Basin, China

Genetic Mechanisms and Multiparameter Logging Identification of Low-Resistivity Oil Pay: A Case Study of the Triassic Chang 6 Member, Zhidan Area, Ordos Basin, China

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