Fuzzy fusion of geological and geophysical data for mapping hydrocarbon potential based on GIS

Ziyong, Zhou; Hangyu, Yu; Gu, Xianglin

doi:10.1144/petgeo2016-100

Cited by 7 publications

(3 citation statements)

References 38 publications

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“…(2015b) applied a GIS-based EBFs model to create a petroleum resources potential map for Khuzestan Province of Iran. Ziyong et al. (2017) employed a GIS-based fuzzy logic model to investigate the gas potential of the Lower Carboniferous of the Chu-Sarysu Basin in Kazakhstan.…”

Section: Introductionmentioning

confidence: 99%

“…In another study, Arab Amiri et al (2015b) applied a GIS-based EBFs model to create a petroleum resources potential map for Khuzestan Province of Iran. Ziyong et al (2017) employed a GIS-based fuzzy logic model to investigate the gas potential of the Lower Carboniferous of the Chu-Sarysu Basin in Kazakhstan. The geological, geophysical and simulation datasets were integrated using the gamma operator to delineate the areas with the highest gas potential.…”

Section: Introductionmentioning

confidence: 99%

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Petroleum potential assessment using an optimized fuzzy outranking approach: A case study of the Red River petroleum system, Williston Basin

Hamzeh

Karimipour

2020

Energy Exploration & Exploitation

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This paper presents a new approach, called optimized fuzzy Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), based on combining fuzzy logic, an outranking method and the cuckoo search optimization algorithm to assess petroleum potential in a spatial framework. The approach brings together flexibility and simplicity to solve petroleum exploration problem under uncertainty using experts’ knowledge and the information associated with the discovered oil pools simultaneously. The characteristics of the essential elements of the petroleum system are used as key criteria in the model. To exemplify the approach, a case study was undertaken in the Red River petroleum system of the Canadian portion of the Williston Basin. Eight datasets related to the selected criteria were integrated by the optimized fuzzy PROMETHEE to create a map that makes it possible to identify the areas of highest petroleum potential. All discovered oil pools in the Red River petroleum system were used in the verification process. The results indicated that the proposed approach can deal effectively with incomplete data and imprecise information, and can be efficiently used in petroleum exploration, thereby reducing the cost and risk of exploration.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Petroleum potential assessment using an optimized fuzzy outranking approach: A case study of the Red River petroleum system, Williston Basin

Hamzeh

Karimipour

2020

Energy Exploration & Exploitation

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“…The findings indicated that the frequency ratio achieved slightly better performance than the EBF. Ziyong et al [27] employed a GIS-based fuzzy logic for integrating geological, geophysical, and simulation data in order to investigate the gas potential of the Chu-Sarysu Basin in Kazakhstan. The results of the study were validated by in situ gas testing.…”

Section: Introductionmentioning

confidence: 99%

An ABC-optimized fuzzy ELECTRE approach for assessing petroleum potential at the petroleum system level

Hamzeh

Karimipour

2020

Open Geosciences

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An inevitable aspect of modern petroleum exploration is the simultaneous consideration of large, complex, and disparate spatial data sets. In this context, the present article proposes the optimized fuzzy ELECTRE (OFE) approach based on combining the artificial bee colony (ABC) optimization algorithm, fuzzy logic, and an outranking method to assess petroleum potential at the petroleum system level in a spatial framework using experts’ knowledge and the information available in the discovered petroleum accumulations simultaneously. It uses the characteristics of the essential elements of a petroleum system as key criteria. To demonstrate the approach, a case study was conducted on the Red River petroleum system of the Williston Basin. Having completed the assorted preprocessing steps, eight spatial data sets associated with the criteria were integrated using the OFE to produce a map that makes it possible to delineate the areas with the highest petroleum potential and the lowest risk for further exploratory investigations. The success and prediction rate curves were used to measure the performance of the model. Both success and prediction accuracies lie in the range of 80–90%, indicating an excellent model performance. Considering the five-class petroleum potential, the proposed approach outperforms the spatial models used in the previous studies. In addition, comparing the results of the FE and OFE indicated that the optimization of the weights by the ABC algorithm has improved accuracy by approximately 15%, namely, a relatively higher success rate and lower risk in petroleum exploration.

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Application of fuzzy recognition method in mineral resources allocation

2021

Sustainable Computing: Informatics and Systems

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Fuzzy fusion of geological and geophysical data for mapping hydrocarbon potential based on GIS

Cited by 7 publications

References 38 publications

Petroleum potential assessment using an optimized fuzzy outranking approach: A case study of the Red River petroleum system, Williston Basin

Petroleum potential assessment using an optimized fuzzy outranking approach: A case study of the Red River petroleum system, Williston Basin

An ABC-optimized fuzzy ELECTRE approach for assessing petroleum potential at the petroleum system level

Application of fuzzy recognition method in mineral resources allocation

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