Logging identification of the Longmaxi mud shale reservoir in the Jiaoshiba area, Sichuan Basin

Yan, Wei; Wang, Jianbo; Liu, Shuai; Wang, Kun; Zhou, Yifeng

doi:10.1016/j.ngib.2014.11.016

Cited by 22 publications

(10 citation statements)

References 1 publication

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“…Logging identifications in this area reveal that the Longmaxi mud shale reservoir is generally characterized as low velocity, low density, high gamma ray and high uranium (Yan et al 2014) (Fig. 2).…”

Section: Geology Backgroundmentioning

confidence: 99%

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Pre-stack seismic density inversion in marine shale reservoirs in the southern Jiaoshiba area, Sichuan Basin, China

et al. 2018

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For a typical marine shale reservoir in the Jiaoshiba area, Sichuan Basin of China, P-impedance is sensitive for identifying lithology but not suitable for indicating good shale reservoirs. In comparison, density is an important quantity, which is sensitive for identifying the organic-rich mud shale from non-organic-rich mud shale. Due to the poor data quality and incidence angle range, density cannot be easily inverted by directly solving the ill-posed pre-stack seismic inversion in this area. Meanwhile, the traditional density regularizations implemented by directly using the more robust P-impedance inversion tend to be inaccurate for recovering density for this shale reservoir. In this paper, we combine the P-impedance and the minus uranium to construct the pseudo-P-impedance (PIp) at well locations. The PIp is observed to be sensitive for identifying organic-rich mud shale and has a good correlation with density in this area. We employ the PIp-density relation into the pre-stack inversion framework to estimate density. Three types of regularization are tested on both numerical and field data: These are no regularization, traditional regularization and the proposed approach. It is observed that the proposed method is better for recovering the density of organic-rich mud shale in the Jiaoshiba area.

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Section: Geology Backgroundmentioning

confidence: 99%

“…2). Referring to the shale reservoir quality that is well characterized by TOC and gas content curves, the density, GR and uranium logs are capable of identifying the non-organic-rich mud shale from organic-rich mud shale in this place (Yan et al 2014). In particular, the total porosity listed in Fig.…”

Section: Geology Backgroundmentioning

confidence: 99%

Pre-stack seismic density inversion in marine shale reservoirs in the southern Jiaoshiba area, Sichuan Basin, China

et al. 2018

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“…The conventional well logs combination, such as GR, Density, AC, Neutron and Resistivity, effectively identify the shale gas reservoir and lithology according to the typical well logs response [4][5].…”

Section: The Conventional Well Logs Combinationmentioning

confidence: 99%

“…Shale gas is mainly stored in the shale formation with two states of the absorbed gas and the free gas. The absorbed gas is trapped in the organic matter and the interface of the minerals solid particle; and the free gas stores in the natural fracture and the relative large-size pore [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Review of Well Logs and Petrophysical Approaches for Shale Gas in Sichuan Basin, China

Zhang¹,

Jin²,

Jiang³

et al. 2015

TOPEJ

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China has vast reserves of shale gas. Currently, shale gas is one of the focuses of the unconventional reservoir. Well logs play an import role in shale gas production, and it is the bridge connecting geology, geophysics and petroleum engineering. In the exploration stage, well logs are used to identify lithology, evaluate the parameters of mineral types and compositions, total organic carbon (TOC), porosity, permeability, gas content, and the potential resources quantity. In the development stage, well logs offer various parameters of geological and engineering for horizontal drilling and production, evaluate the mechanical properties and calculate the magnitude and orientation of the in-situ stress for hydraulic fracturing stimulation. We reviewed current well logs for shale gas in China and discussed the development trend in the paper. A case history in Sichuan Basin presented to analyze the logs response characteristics and parameters calculation for a shale gas well. The difficulty and the future attention focus are also discussed.

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Experimental Understanding of Pore Structure and Wettability of the Unconventional Reservoir

Kibria¹,

Hu²

2022

Handbook of Petroleum Geoscience

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Logging identification of the Longmaxi mud shale reservoir in the Jiaoshiba area, Sichuan Basin

Cited by 22 publications

References 1 publication

Pre-stack seismic density inversion in marine shale reservoirs in the southern Jiaoshiba area, Sichuan Basin, China

Pre-stack seismic density inversion in marine shale reservoirs in the southern Jiaoshiba area, Sichuan Basin, China

Review of Well Logs and Petrophysical Approaches for Shale Gas in Sichuan Basin, China

Experimental Understanding of Pore Structure and Wettability of the Unconventional Reservoir

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