A Comprehensive Review of Soft Computing Models for Permeability Prediction

Almutairi, Mubarak

doi:10.1109/access.2020.3046698

Cited by 4 publications

(3 citation statements)

References 65 publications

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“…By using Soft logic, new approaches have been developed, including a novel approach to defining random variables in a way that can enhance splitting criteria in decision trees [30]; a mathematical presentation of the privacy paradox [31]; and a way to present physical vacuums (whose existence was proved by the French mathematician and physicist Blaise Pascal) as an extension of zero. Soft logic is closely related to soft computing which enables handling, vague truth and uncertainty, and is applicable, for example, in predicting permeability -a pivotal to petroleum engineers [32].…”

Section: The Theory Of Soft Logicmentioning

confidence: 99%

Representation and Assessment of Systems Thinking Competencies Through Soft Logic

Hirschprung,

Kordova,

Klein

et al. 2023

IEEE Access

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Systems thinking is a trait that enables seeing the 'big picture'. Therefore, it is critical for engineers in the 21st century, as it empowers them to comprehend the dynamic behaviors exhibited by complex systems and effectively tackle the challenges inherent in such systems. Systems thinking skills are inherently multi-dimensional rather than a singular, scalar measure. When evaluating different candidates for an organizational role, such as engineers, significant challenges can arise due to the dilemmas that the multidimensional property may trigger. This study introduces the use of Soft logic, a relatively new mathematical approach, to provide a more comprehensive representation of systems thinking skills. By employing the Soft logic tool, engineers' capacity for systems thinking can be assessed across multiple dimensions, offering a valuable aid in the evaluation process. Soft logic enables accommodating in a single variable both the central values of each dimension, as well as the tensions between these dimensions. The tool enables ordering individuals according to their systems thinking skills, while considering the provided weight of each dimension. In regard to previous research in this field, the current methodology enables focusing on the diversity of the skills dimensions within a specific individual in addition to the diversity between individuals. This tool, for example, can enhance the selection process of engineers, ensure a better fit between engineers and job roles, and ultimately promote more effective problem-solving and decision-making within complex systems.

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Section: The Theory Of Soft Logicmentioning

confidence: 99%

Representation and Assessment of Systems Thinking Competencies Through Soft Logic

Hirschprung,

Kordova,

Klein

et al. 2023

IEEE Access

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“…Similar to water permeability, gas permeability in unsaturated soil, which characterizes the capacity of gas transport, is an important hydraulic property. The gas permeability of soils is concerned in various fields, e.g., landfill gas emission and oxidation for waste landfill cover systems [1][2][3][4][5][6], soil aeration for plant growth [7,8], soil moisture distribution for land surface [9,10], three-phase (water, gas, and oil) permeability in the oil industry [11,12], and the sealing efficiency of CO 2 [13][14][15]. Among these fields, the increase in gas pressure above atmospheric pressure is typically below 10 kPa and falls within the measurement range of the gas supply equipment (20 kPa).…”

Section: Introductionmentioning

confidence: 99%

A Temperature-Controlled Apparatus for Gas Permeability under Low Gas Pressure

Wu,

Huang,

Liu

et al. 2023

Applied Sciences

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The measurement of soil gas permeability is influenced by the temperature and pressure fluctuation in the low gas pressure region. In order to investigate these influences, a soil temperature-controlled apparatus connected to a low-gas-pressure supply equipment is proposed in this study. The low constant gas pressure is supplied by two Mariotte bottles, by which the airflow rate is measured. Meanwhile, the soil specimen is controlled by a temperature-controlled apparatus. During the test, the negative pore water pressure and volume change of the soil specimen are measured. Through the temperature-controlled apparatus, it is observed that as the temperature increases from 25 °C to 60 °C, there is a corresponding increase in soil sample porosity by 5.4%, while the negative pressure of pore water decreases by 11.1%. This can be attributed to the reduction in the surface tension of contractile skin caused by elevated temperatures. Furthermore, due to variations in gas viscosity with temperature, there was a significant decrease in the gas flow rate by 50.5%. And, the relationship between permeability and volumetric gas content at different temperatures in low-pressure regions well confirms the existing power-law model. In addition, the existence of a temperature-independent critical negative pore water pressure is observed, beyond which the intrinsic permeability remains constant. At 36 kPa of negative pore water pressure, the intrinsic permeability at 60 °C exhibits an 81.8% reduction compared to that at 25 °C. This decline in intrinsic permeability can be attributed to a diminished pore connectivity, resulting from elevated temperatures.

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“…For the prediction of production, permeability, and porosity, various artificial intelligence algorithms based on big data from logging curves are proposed. Paper [8] summarised a variety of soft computing models in permeability predictions. According to [9], the initial well-known models for permeability prediction are ANN, fuzzy logic (FL), and neuro-fuzzy.…”

Section: Introductionmentioning

confidence: 99%

Study of Homogeneous Reservoir Pressure Inversion Model Based on Permeability Mechanics and Interpretation Software Design

Chen

Sun

et al. 2021

Mathematical Problems in Engineering

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Well test analysis is required during the extraction of oil and gas wells. The information on formation parameters can be inverted by measuring the change in wellbore pressure at production start-up or after well shutdown. In order to calculate the characteristic parameters of the well, this paper creates a well test interpretation model for homogeneous reservoirs based on the theory of seepage mechanics, uses the Stehfest–Laplace inversion numerical inversion algorithm, and builds the Gringarten–Bourdet logarithmic curves model. The model can be used to evaluate the homogeneous reservoir. We use this model to design the pressure inversion interpretation software to implement a pressure inversion method based on permeability mechanics theory by using computer. The software can obtain the reservoir characteristic parameters such as permeability ( K ), skin coefficient ( S ), and wellbore storage coefficient ( C ). The homogeneous formation Gringarten–Bourdet curves data are available at https://github.com/JXLiaoHIT/Study-of-homogeneous-reservoir-pressure-inversion-model.

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A Comprehensive Review of Soft Computing Models for Permeability Prediction

Cited by 4 publications

References 65 publications

Representation and Assessment of Systems Thinking Competencies Through Soft Logic

Representation and Assessment of Systems Thinking Competencies Through Soft Logic

A Temperature-Controlled Apparatus for Gas Permeability under Low Gas Pressure

Study of Homogeneous Reservoir Pressure Inversion Model Based on Permeability Mechanics and Interpretation Software Design

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