Unusually petrophysical behavior and geological significance of mudrocks

Lai, Jin; Bai, Tianyu; Zhao, Yidi; Xiao, Lü; He, Zhibo; Wang, Chongyang; Wang, Guiwen; Qin, Z.

doi:10.1016/j.geoen.2023.212171

Cited by 6 publications

(2 citation statements)

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“…The prevailing consensus within the literature underscores a crucial limitation: individual conventional well logs, in isolation, often fall short in effectively discerning pore spaces arising from fractures or dissolution, as substantiated by [20,[63][64][65]. Consequently, the pivotal question arises in an investigative context: What distinctive behavioral patterns should one anticipate from well logs within a porous environment, and how can the integration of datasets enhance the identification of non-matrix-related pores?…”

Section: Integration Of Datasets Using Som (Conventional and Vug_phi ...mentioning

confidence: 99%

“…An additional well log subjected to analysis in this study is the Photoelectric Factor (PEF). Widely recognized as a conventional log, the PEF log serves as a direct tool for lithology determination, as evidenced by the works of [64,65,67], and [68]. Beyond its conventional application, the PEF log also plays a crucial role in the initial identification of non-matrix related pores, as highlighted by [67,68], and [66].…”

Section: Responses Of the Data Inputs Against Porous Environmentmentioning

confidence: 99%

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Geological Insights from Porosity Analysis for Sustainable Development of Santos Basin’s Pre-Salt Carbonate Reservoir

Vásconez Garcia,

Mohammadizadeh,

Avansi

et al. 2024

Preprint

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Carbonate reservoirs, influenced by depositional and diagenetic processes and characterized by features like faults and vugs that impact storage capacity, require more than traditional Borehole Imaging logs (BHI) for accurate porosity data. This data is essential for geological assessments, production forecasting, and reservoir simulations. This work aims to address this limitation by developing methods to measure and monitor the sustainability of carbonate reservoirs and exploring the application of sustainability principles to their management. The study integrates BHI and conventional logs from two wells to classify porosity-based facies within the Barra Velha Formation (BVF) in the Santos Basin. The methodology involves four steps: (i) analyzing conventional logs; (ii) segmenting BHI logs; (iii) integrating conventional and segmented BHI logs using Self-Organizing Maps (SOM); and (iv) interpreting the resulting classes. Matrix porosity values and non-matrix pore sizes categorize the porosity into four facies (A to D). Facies A has high non-matrix porosity with 14,560 small megapores, 5,419 large megapores, and 271 gigapores (71.9%, 26.76%, and 1.34% of the 20,250 pores, respectively). Facies B shows moderate non-matrix porosity with 8,669 small megapores, 2,642 large megapores, and 33 gigapores (76.42%, 23.29%, and 0.29% of the 11,344 pores, respectively) and medium matrix porosity. Facies C exhibits low non-matrix porosity with 7,749 small megapores, 2,132 large megapores, and 20 gigapores (78.27%, 21.53%, and 0.20% of the 9,901 pores, respectively) and medium matrix porosity. Facies D has low non-matrix porosity with 9,355 small megapores, 2,346 large megapores, and 19 gigapores (79.82%, 20.02%, and 0.16% of the 11,720 pores, respectively) and low matrix porosity. The novelty of this work lies in integrating data from two sources to classify porosity across the Pre-Salt reservoir interval, serving as a proxy for preliminary litho-facies identification without core data. This study advances our understanding of carbonate reservoir sustainability and heterogeneity, offering valuable insights for robust, sustainable reservoir characterization and management in the context of global environmental and geological changes.

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Section: Integration Of Datasets Using Som (Conventional and Vug_phi ...mentioning

confidence: 99%