Petrophysical characterization using well log resistivity and rock grain specific surface area in a fractured carbonate pre-salt reservoir in the Santos Basin, Brazil

Rocha, Herson Oliveira da; Costa, J.; Carrasquilla, Abel; Carrasco, Alfredo

doi:10.1016/j.petrol.2019.106372

Cited by 17 publications

(5 citation statements)

References 40 publications

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“…The more obvious the amplitude difference, the better the oil content. [47][48][49] As shown in Well F854, the resistivity in the 1808~1810m section is 13.4Ω•m, and the oil test conclusion is that the oil layer has a daily oil production of 3.74t and water production of 0.66m 3 .…”

Section: A Spontaneous Potential (Sp)overlapmentioning

confidence: 95%

“…It is proved that the low-resistivity oil pay has considerable production, but the identification accuracy is low, which is one of the difficulties in the current oil and gas exploration research. 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%

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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

Preprint

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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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Section: A Spontaneous Potential (Sp)overlapmentioning

confidence: 95%

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

Preprint

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show abstract

“…The more obvious the amplitude difference, the better the oil content. 45−47 As shown in Well F854, the resistivity in the 1808−1810 m section is 13.4 Ω•m, and the oil test conclusion is that the oil layer has a daily oil production of 3.74 t and water production of 0.66m 3 . When the spontaneous potential (SP) and calculated spontaneous potential (PSP) curves are overlapped, there is a clear amplitude difference (Figure 14).…”

Section: Identification Of Low-resistivity Oil Pay 421 Well Log Overl...mentioning

confidence: 99%

“…It is proved that the low-resistivity oil pay has considerable production, but the identification accuracy is low, which is one of the difficulties in the current oil and gas exploration research . , 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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“…structures. In these cases, grouting can be performed to reinforce the rocks and has been used extensively in various types of geotechnical engineering projects Halls, 1990, 1993;Pfleiderer and Kissel, 1994;Littlejohn, 2003;Lai et al, 2017;Rocha et al, 2019). However, because fractured rocks have complex internal structures and the flow of the grout cannot be completely controlled, grout diffusion often fails to reach the desired radius, which can cause the entire grouting process to fail.…”

Section: Introductionmentioning

confidence: 99%

An experimental study on characterizing damage and fracture of a rock-like material based on three-dimensional magnetic field imaging

Yue

Yang

2020

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Purpose The results showed that the use of a magnetic marker could relatively accurately reflect the fracture pattern inside the rock-like material (RLM). Design/methodology/approach This study investigated the internal structure and fracture pattern of a fractured RLM. Magnetized iron oxide powder, which was used as a magnetic marker, was mixed with water and glue to form a magnetic slurry, which was subsequently injected into a fractured RLM. After the magnetic slurry completely filled the cracks inside the RLM and became cemented, the distribution and magnitude of the magnetic field inside the RLM were determined using a three-dimensional (3D) magnetic field imaging system. Findings A model for determining the magnetic field strength was developed using MATLAB. Originality/value This model of 3D magnetic will further be used as a finite element tool to simulate and image cracks inside the rock.

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Petrophysical characterization using well log resistivity and rock grain specific surface area in a fractured carbonate pre-salt reservoir in the Santos Basin, Brazil

Cited by 17 publications

References 40 publications

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 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

An experimental study on characterizing damage and fracture of a rock-like material based on three-dimensional magnetic field imaging

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