Fuzzy logic and grey clustering analysis hybrid intelligence model applied to candidate-well selection for hydraulic fracturing in hydrocarbon reservoir

Gou, Bo; Wang, Chuan; Yu, Tao; Wang, Kunjie

doi:10.1007/s12517-020-05970-y

Cited by 10 publications

(11 citation statements)

References 36 publications

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“…The reservoir belongs to the fracture-pore type, and there is no large-scale fracture-cave reservoir. 16 According to the reservoir porosity, permeability, gas saturation, and other physical parameters in Sichuan Basin, we use Eclipse to establish the numerical simulation model of segmented acid fracturing horizontal wells in carbonate gas reservoirs (Figure 2). 17,18 The relevant parameters selected in the model are shown in Table 2.…”

Section: Resultsmentioning

confidence: 99%

“…There are some limitations in the application of the above method in horizontal wells in the ultradeep carbonate reservoir in Sichuan Basin. The reservoir belongs to the fracture-pore type, and there is no large-scale fracture-cave reservoir . According to the reservoir porosity, permeability, gas saturation, and other physical parameters in Sichuan Basin, we use Eclipse to establish the numerical simulation model of segmented acid fracturing horizontal wells in carbonate gas reservoirs (Figure ).…”

Section: Resultsmentioning

confidence: 99%

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Research and Application of Segmented Acid Fracturing by Temporary Plugging in Ultradeep Carbonate Reservoirs

Wang¹,

Fan²,

Zhou³

et al. 2021

ACS Omega

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The ultradeep carbonate reservoir in Sichuan Basin is characterized by deep burial depth, high temperature, and strong heterogeneity. In the early stage of production, the vertical well acid fracturing is the main reservoir stimulation method, and the horizontal well stimulation technology is not mature enough to release the production capacity of gas wells. Segmented acid fracturing of the ultradeep horizontal wells currently faces the following problems: the strong heterogeneity of reservoir leads to the difficulty of fine segmentation; the high reservoir temperature requires higher performance of working fluid; the reaction rate between acid and rock is fast and the action distance of acid is short, and there is low fracture conductivity under high closure stress. In view of the above problems, the fine segmented design method was studied, and the high-temperature-resistant authigenic acid and gelling acid systems were developed. The viscosity of authigenic acid is greater than 150 mPa s after shearing at 160 °C and 170 s −1 for 50 min, and the highest acid generation concentration is 4.05 mol/L. The gelling acid system has both the properties of high-temperature resistance and low friction resistance; not only canit meet the requirements of the retarding rate and the corrosion inhibition ability when the reservoir temperature is 160 °C but also the resistance reduction rate is up to more than 70%. By alternating injection of authigenic acid and gelling acid, the acid-etched fracture length and conductivity were, respectively, increased by 80% and 45%. The application of this technology in the horizontal well of the ultradeep carbonate reservoir in Sichuan Basin can increase the productivity by 3 times when compared with the vertical well acid fracturing, and a better stimulation effect has been achieved.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Research and Application of Segmented Acid Fracturing by Temporary Plugging in Ultradeep Carbonate Reservoirs

Wang¹,

Fan²,

Zhou³

et al. 2021

ACS Omega

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“…In view of the strong fuzzy and opaque characteristics of embankment safety evaluation indexes, the introduction of gray system theory can better solve the complex and fuzzy problems existing in the evaluation process [13] (Guo B et al2020). The construction of the whitening power function is extremely important for the subsequent evaluation, and with the depth of research endpoint-type and centroid-type triangular whitening power functions have been proposed, etc.…”

Section: Comprehensive Safety Evaluation Based On Grey Cluster Analysismentioning

confidence: 99%

Grey comprehensive evaluation of embankment safety based on interval number decision matrix

Cheng

Cui

Cheng

et al. 2023

3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

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As an important water conservancy facility to resist flooding, embankment project has the risk of failure due to its complex structure and large variability of operating conditions. This paper establishes a single-objective, multi-level, semi-structural evaluation index system based on the inverse diffusion of consequences method, which comprehensively considers various failure forms of embankments; and constructs a comprehensive evaluation method for embankment safety, which determines the subjective and objective weights of evaluation indexes by introducing interval number theory, combining hierarchical analysis method and entropy value method, scoring intervals based on set value statistics, and finally carrying out comprehensive gray evaluation based on improved hybrid centroid-type triangular whitening function, and on this basis, a Monte Carlo mathematical model is established for the sensitivity analysis of indicators. The safety evaluation was carried out with Wuhan Yangtze River embankment as an example, and the result shows that the integrated evaluation method of embankment safety based on interval number decision matrix has good practicality and more adequate data mining, which can truly reflect the embankment safety condition and has strong engineering guidance significance.

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“…Then, seven groups of numerical experiments were conducted on a finite element simulation tool named Parallel Adaptive Nonlinear Deformation Analysis Software (PANDAS), which can run on a normal computer, although a supercomputer was often used to simulate dynamic processes in reservoirs [4,7,[12][13][14].The simulated pressure response were obtained in a homogeneous, stress-dependent, multi-layered, heterogeneous and integrated model. The Pearson correlation coefficients (r p , confidence degree α = 0.01) and gray correlation degree (γ 0i ) were calculated, respectively, to measure the approximation degree between the simulated pressure response and field-measured data [15]. At same time, the Horner curve and log-log analysis were used to obtain the reservoir parameters in every model.…”

Section: Introductionmentioning

confidence: 99%

Numerical-Well-Testing Interpretation of Injection/Falloff Testing for Coalbed Methane Well in Hedong Coalfield

Fang

Zhang

Li³

et al. 2023

Energies

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Numerical well testing is used mostly in oil/gas, geothermal, and coalbed methane injection/falloff well-testing interpretations while few published studies have been presented on how to adjust the models and numerical experiments parameters. Meanwhile, there is no simple and highly applicable evaluation standard on the approximation degree between the simulated and field-measured pressure response. In this paper, seven groups of numerical experiments were conducted to obtain the simulated pressure response. The Pearson correlation coefficients and the grey correlation between the simulated and field-measured pressure response were calculated to evaluate the approximation degree. In homogeneous, stress-independent, multi-layered, heterogeneous and integrated models, the simulated pressure response curves all fit to the field data well at the early and late time of the falloff period. However, the highest approximation degree was only found in the integrated model. Finally, the permeability, initial pressure, skin factor and investigation radius of the tested CBM reservoir were determined. The results show that, to obtain a reliable interpretation result, it is best to give an approximation degree evaluation standard on the approximation degree between the simulated and field-measured pressure response, build an integrated numerical model, and input the correct parameters, such as the effective thickness and the testing fluid viscosity. Otherwise, it will also drop into a pitfall of multi-results. The method we used is very relevant to CBM exploration and safe mining in Hedong coalfield.

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Fuzzy logic and grey clustering analysis hybrid intelligence model applied to candidate-well selection for hydraulic fracturing in hydrocarbon reservoir

Cited by 10 publications

References 36 publications

Research and Application of Segmented Acid Fracturing by Temporary Plugging in Ultradeep Carbonate Reservoirs

Research and Application of Segmented Acid Fracturing by Temporary Plugging in Ultradeep Carbonate Reservoirs

Grey comprehensive evaluation of embankment safety based on interval number decision matrix

Numerical-Well-Testing Interpretation of Injection/Falloff Testing for Coalbed Methane Well in Hedong Coalfield

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