Hierarchical clustering of Pristane and Phytane data to identify the sweet spots in the shale reservoirs

Sahoo, Ajit Kumar; Basu, Sudipta; Vishal, Vikram; Srivastava, Mukul

doi:10.1016/j.egycc.2020.100011

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Pristane (Pr)/n-C17 and phytane (Ph)/n-C18 ratios serve as comprehensive markers utilized for identifying sedimentary environments, organic matter origin, and thermal maturity [60][61][62]. Figure 4a displays the cross-plot for the dolomite within the Dengying Fm.…”

Section: Sedimentary Environmentmentioning

confidence: 99%

Hydrocarbon Generation and Residue Features of Ediacaran High-Maturity Source Rocks and Their Significance in Gas Exploration in Sichuan Basin

Wang,

Pang,

Wang

et al. 2023

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Evaluating residual hydrocarbons is crucial for assessing shale oil and gas reservoirs, significantly impacting resource evaluation and exploration prospects. Previously regarded as lacking hydrocarbon generation potential, the Ediacaran Dengying Formation (Fm) microbial dolomite in the Sichuan Basin has been re-evaluated for its hydrocarbon generation capabilities. While understanding source rock characteristics is vital for petroleum resource assessment, a comprehensive analysis of the dolomite’s source rocks, encompassing hydrocarbon generation and residual features, remains undocumented. In this study, we thoroughly analyze the total organic carbon and vitrinite reflectance and extensively utilize pyrolysis analysis, gas chromatography and isotopic analysis of the organic kerogen from the Ediacaran Dengying Fm dolomite samples. The findings affirm that the Ediacaran Dengying Fm dolomite indeed serves as a source rock with moderate hydrocarbon generation and residue capabilities. This microbial dolomite was formed in a reducing marine environment with high salinity. Characterized by an averaging TOC of 0.82%, the kerogen is primarily identified as type I, with a minor presence of type II, and underwent thermal maturation up to the post-maturity stage. Throughout its geological history, the maximum intensities for hydrocarbon generation and residues were 4.5 × 107 t/km2 and 3.2 × 107 t/km2, respectively. Additionally, cumulatively generated and residual hydrocarbon quantities amounted to 2.7 × 1012 t and 1.67 × 1012 t, respectively. This study indicates significant exploration potential for the Ediacaran Dengying Fm microbial dolomite. Consequently, the central region in the Sichuan Basin has been identified as a promising area for future exploration endeavors. Our study provides valuable insights for the understanding of shale gas exploration in high-maturity source rock areas.

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Section: Sedimentary Environmentmentioning

confidence: 99%

Hydrocarbon Generation and Residue Features of Ediacaran High-Maturity Source Rocks and Their Significance in Gas Exploration in Sichuan Basin

Wang,

Pang,

Wang

et al. 2023

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Petrophysical rock typing based on deep learning network and hierarchical clustering for volcanic reservoirs

Wang

Leung

et al. 2022

Journal of Petroleum Science and Engineering

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Prediction of Longitudinal Superimposed “Sweet Spot” of Tight Gas Reservoir: A Case Study of Block G, Canada

et al. 2023

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In this paper, taking Block G in Canada as an example, combined with the data of the working area, the Pearson–MIC comprehensive evaluation method was adopted to optimize the key parameters of productivity. Based on the analytic hierarchy process, the weight of each parameter was calculated, the grade of evaluation index of the “sweet spot” was divided, the standard of the sweet spot was established, and the distribution of the superimposed sweet spot was finally depicted. The results show that lateral length, number of stages, volume of fluid, and amount of proppant are the key engineering parameters of horizontal well, and lateral length is an independent key engineering parameter. The cumulative gas production in the first two years was normalized on the lateral length to eliminate the engineering influence, and the total organic carbon (TOC) was finally determined as the key geological parameter, whereas porosity and water saturation were the secondary key parameters. The area of Type I sweet spots accounts for 24.2% in the Series Upper and 23.1% in the Series Lower. This study proposed a new sweet spot prediction idea based on the influence of geological factors on productivity, and its results also laid a foundation for the subsequent placement of horizontal wells in Block G.

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Hierarchical clustering of Pristane and Phytane data to identify the sweet spots in the shale reservoirs

Cited by 3 publications

References 18 publications

Hydrocarbon Generation and Residue Features of Ediacaran High-Maturity Source Rocks and Their Significance in Gas Exploration in Sichuan Basin

Hydrocarbon Generation and Residue Features of Ediacaran High-Maturity Source Rocks and Their Significance in Gas Exploration in Sichuan Basin

Petrophysical rock typing based on deep learning network and hierarchical clustering for volcanic reservoirs

Prediction of Longitudinal Superimposed “Sweet Spot” of Tight Gas Reservoir: A Case Study of Block G, Canada

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