A New Evaluation Procedure of Rock Fracability Using Cluster Analysis of Well-Logged Petrophysical Properties of Facies

Zhou, Xiaofeng; Feng, He; Wei, Jianguang

doi:10.1134/s1062739120057081

J Min Sci

2020

DOI: 10.1134/s1062739120057081

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A New Evaluation Procedure of Rock Fracability Using Cluster Analysis of Well-Logged Petrophysical Properties of Facies

Xiaofeng Zhou

He Feng

Jianguang Wei

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Cited by 3 publications

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Analysis of the impact of geological and engineering parameters on productivity in tight oil reservoirs

Li,

Zhou,

et al. 2024

Can J Chem Eng

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Tight oil resources are abundant, but the factors affecting production capacity are complex. In this paper, focusing on tight oil reservoirs, three research works were conducted. First, using the numerical simulation software, a numerical model of tight oil reservoirs was established. Second, the influence of geological parameters such as porosity and permeability on oil production were analyzed. Third, the influence of rock compression coefficient and injection fluid on tight oil production were analyzed. Results show that: (a) When the porosity is 0.05, the cumulative oil production in the first 6 years is the highest, while in the later stage of the simulation, the cumulative oil production with a porosity of 0.1 is the highest. (b) The higher the permeability, the greater the cumulative oil production. The cumulative oil production under different permeability conditions are 1392.044, 2178.805, 2939.1704, and 4038.0878 m3, respectively. (c) Under tight reservoir conditions, the impact of different rock compression coefficients on the daily oil production of oil and gas reservoirs is not very significant. (d) The recovery effect is optimal when using the N2 injection scheme. The effectiveness of the CH4 scheme is second, and there is a certain gap compared to the N2 scheme. The development plan of injecting water has the worst effect. However, compared to the depletion development model, the cumulative oil production by injecting N2, CO2, CH4, and water has all increased.

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Analysis of the impact of geological and engineering parameters on productivity in tight oil reservoirs

Li,

Zhou,

et al. 2024

Can J Chem Eng

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A New Method for Evaluating Fracability Based on Cluster Analysis and Well Logging Petrophysical Facies Division

Zhang,

Wei,

Zhou

et al. 2023

J. Phys.: Conf. Ser.

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The fracability of rock is a crucial parameter in determining the efficiency of fracturing in tight reservoirs. However, current methods for evaluating fracability have significant limitations. This paper proposes a new method for evaluating reservoir fracability based on cluster analysis of logging petrophysical facies. This method considers rock mechanics characteristics, petrophysical response characteristics, and reservoir physical parameters, among other factors. The Well X of the block was used as the research subject. Using the brittleness index and permeability evaluation index, the reservoir fracability of the target block is classified into five categories: high brittleness and low permeability rock, high brittleness and super low permeability rock, low brittleness and low permeability rock, low brittleness and super low permeability rock, and clay/shale. Geolog software is used to generate fracability prediction profiles for representative wells based on petrophysical facies. To further validate this evaluation method, the fracture construction data and microseismic monitoring interpretation results of Well Y in a tight block of an oil field were synthesized and analyzed to predict its fracability. The overall prediction accuracy reached 81.8%, indicating that the new fracability evaluation method has good application effect.

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A New Method of Quantitatively Evaluating Fracability of Tight Sandstone Reservoirs Using Geomechanics Characteristics and In Situ Stress Field

Dou

Zuo

et al. 2022

Processes

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This paper studied the fracability of tight sandstone reservoirs by means of incorporating geomechanics properties and surrounding in situ stresses into a new model. The new fracability evaluation model consists of variables such as brittleness index, critical strain energy release rate index, horizontal stress difference, and minimum horizontal principal stress gradient. The probability of interconnection of a complex fracture network was quantitatively studied by the brittleness index and horizontal principal stress difference index. The probability of obtaining a large stimulated reservoir volume was evaluated by the critical strain energy release rate index and minimum horizontal principal stress gradient which also quantifies conductivity. This model is more capable of evaluating fracability, i.e., it agrees better with the history of production with a high precision and had correlation coefficients (R2) of 0.970 and 0.910 with liquid production of post-fracturing well testing and the average production of six months of post-fracturing, respectively. It is convenient that all model inputs were obtained by means of loggings. Using this model, tight sandstone reservoirs were classified into three groups according to fracability: Frac ≥ 0.3 MPa−1·m for Type-I, 0.22 MPa−1·m ≤ Frac < 0.3 MPa−1·m for Type-II, and Frac < 0.22 MPa−1·m for Type-III.

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A New Evaluation Procedure of Rock Fracability Using Cluster Analysis of Well-Logged Petrophysical Properties of Facies

Cited by 3 publications

References 3 publications

Analysis of the impact of geological and engineering parameters on productivity in tight oil reservoirs

Analysis of the impact of geological and engineering parameters on productivity in tight oil reservoirs

A New Method for Evaluating Fracability Based on Cluster Analysis and Well Logging Petrophysical Facies Division

A New Method of Quantitatively Evaluating Fracability of Tight Sandstone Reservoirs Using Geomechanics Characteristics and In Situ Stress Field

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