A Logging Data Based Method for Evaluating the Fracability of a Gas Storage in Eastern China

Huang, Famu; Huang, Lei; Zhu, Ziheng; Zhang, Min; Zhang, Wenpeng; Jiang, Xingwen

doi:10.3390/su16083165

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…Recognizing the critical need for expeditious assessment of fractures and vugs within carbonate reservoirs, coupled with the limited availability of BH I for comprehensive well coverage and the high time consumption for manual BH I interpretation, researchers (e.g., [19][20][21]) have scrutinized the response of conventional well logs to non-matrix-related pores. While conventional well logs lack the ability to provide qualitative details such as the size and shape of non-matrix-related pores, they have proven effective in offering quantitative information regarding porosity.…”

Section: Of 35mentioning

confidence: 99%

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: Of 35mentioning

confidence: 99%

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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A novel approach to the comprehensive evaluation of geology- engineering dual sweet spots in tight gas reservoirs in the LX area of China

Liu,

Lou

et al. 2024

Preprint

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The LX tight gas reservoir displays significant heterogeneity, with a lack of alignment between engineering treatment and geological evaluation, leading to an unsatisfactory development outcome. Focusing on the Shihezi Formation of LX, a new comprehensive evaluation method is proposed for identifying sweet spots, taking into consideration both geological and engineering factors. The objective function utilized is post-frac production, and the grey correlation method was employed to quantitatively characterize the weight coefficients of geological and engineering parameters. The dual sweet spots index F was obtained through a normalized process. Utilizing the Petrel integrated exploration and development platform, the dual sweet spots index was incorporated into the geological model using coarse-interpolation. Subsequently, a dual sweet spots evaluation model was established to enhance the overall assessment process. The findings indicate the following: (1) There is a strong correlation between open flow production and the F-value, and the model's predicted value closely aligns with the actual value. (2) A section with an F-value greater than 0.5 is identified as the optimal sweet spot, prioritizing development in this area. Sections with F-values within the range of 0.3 to 0.5 may be considered for fracturing but are not the primary choice. Sections with an F-value below 0.3 are deemed inefficient areas. (3) Based on the dual sweet spots evaluation model, it is recommended to focus on single layers He2, He5, and He6 in the LX area due to their superior quality compared to other layers. The research results offer crucial technical support for assessing fracability in this region, and hold significant importance for the selection of fracturing wells and the optimization of frac design.

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Geological Insights from Porosity Analysis for Sustainable Development of Santos Basin’s Presalt Carbonate Reservoir

Vásconez Garcia,

Mohammadizadeh,

Avansi

et al. 2024

Sustainability

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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 (BHIs) for accurate porosity data. These data are 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 BHIs 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). The results of this research indicate the following: Facies A has high non-matrix porosity with 14,560 small megapores, 5419 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, 2642 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 7749 small megapores, 2132 large megapores, and 20 gigapores (78.27%, 21.53%, and 0.20% of the 9901 pores, respectively) and medium matrix porosity. Facies D has low non-matrix porosity with 9355 small megapores, 2346 large megapores, and 19 gigapores (79.82%, 20.02%, and 0.16% of the 11,720 pores, respectively) and low matrix porosity. The results of this research reveal the effectiveness of a semiautomatic methodology that combines BHI and conventional well logs to distinguish between matrix and non-matrix-related pore spaces, thus enabling a preliminary classification of reservoir facies based on porosity. This study advances our understanding of carbonate reservoir sustainability and heterogeneity, thus offering valuable insights for robust, sustainable reservoir characterization and management in the context of global environmental and geological changes. The novelty of this work lies in integrating data from two sources to classify porosity across the presalt reservoir interval, thus serving as a proxy for preliminary lithofacies identification without core data.

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A Logging Data Based Method for Evaluating the Fracability of a Gas Storage in Eastern China

Cited by 3 publications

References 33 publications

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

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

A novel approach to the comprehensive evaluation of geology- engineering dual sweet spots in tight gas reservoirs in the LX area of China

Geological Insights from Porosity Analysis for Sustainable Development of Santos Basin’s Presalt Carbonate Reservoir

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