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Journal Article

Shale brittleness prediction using machine learning—A Middle East basin case study

Ayyaz Mustafa, Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud, Shams Kalam, Rizwan Ahmed Khan
Journal: AAPG Bulletin
Published: 01 November 2022
AAPG Bulletin (2022) 106 (11): 2275–2296.
DOI: https://doi.org/10.1306/12162120181
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An engineering geological suitability comprehensive evaluation index (EGSCEI) for large-scale infrastructure site selection

Peng Yang, Yanjun Shang, Yanyan Li, Kun Li
Published: 30 June 2022
Quarterly Journal of Engineering Geology and Hydrogeology (2022) 55 (4): qjegh2021-011.
DOI: https://doi.org/10.1144/qjegh2021-011
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Semisupervised fuzzy clustering for facies analysis using extended elastic impedance seismic attributes

Marzieh Mirzakhanian, Hosein Hashemi
Journal: Geophysics
Published: 23 June 2022
Geophysics (2022) 87 (4): N75–N84.
DOI: https://doi.org/10.1190/geo2021-0330.1
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Quantitative prediction of prospectivity for Pb–Zn deposits in Guangxi (China) by back-propagation neural network and fuzzy weights-of-evidence modelling

Shuyun Xie, Ning Huang, Jun Deng, Songle Wu, Mingguo Zhan, Emmanuel John M. Carranza, Yuepeng Zhang, Fanxing Meng
Published: 03 March 2022
Geochemistry: Exploration, Environment, Analysis (2022) 22 (2): geochem2021-085.
DOI: https://doi.org/10.1144/geochem2021-085
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Fluid and lithofacies prediction based on integration of well-log data and seismic inversion: A machine-learning approach

Luanxiao Zhao, Caifeng Zou, Yuanyuan Chen, Wenlong Shen, Yirong Wang, Huaizhen Chen, Jianhua Geng
Journal: Geophysics
Published: 19 July 2021
Geophysics (2021) 86 (4): M151–M165.
DOI: https://doi.org/10.1190/geo2020-0521.1
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Three-dimensional weights of evidence modelling of a deep-seated porphyry Cu deposit

Ehsan Farahbakhsh, Ardeshir Hezarkhani, Taymour Eslamkish, Abbas Bahroudi, Rohitash Chandra
Published: 08 September 2020
Geochemistry: Exploration, Environment, Analysis (2020) 20 (4): 480–495.
DOI: https://doi.org/10.1144/geochem2020-038
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Creating probabilistic 3D models of lithofluid facies using machine-learning algorithms

Saba Keynejad, Marc L. Sbar, Roy A. Johnson
Journal: Interpretation
Published: 31 August 2020
Interpretation (2020) 8 (4): T701–T714.
DOI: https://doi.org/10.1190/INT-2019-0249.1
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Clustering and constrained inversion of seismic refraction and gravity data for overburden stripping: Application to uranium exploration in the Athabasca Basin, Canada

Mehrdad Darijani, Colin G. Farquharson, Peter G. Lelièvre
Journal: Geophysics
Published: 13 June 2020
Geophysics (2020) 85 (4): B133–B146.
DOI: https://doi.org/10.1190/geo2019-0525.1
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Discrete-valued gravity inversion using the guided fuzzy c -means clustering technique

Elizabeth Maag, Yaoguo Li
Journal: Geophysics
Published: 06 July 2018
Geophysics (2018) 83 (4): G59–G77.
DOI: https://doi.org/10.1190/geo2017-0594.1
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Fuzzy constrained Lp-norm inversion of direct current resistivity data

Anand Singh, Shashi Prakash Sharma, İrfan Akca, Vikas Chand Baranwal
Journal: Geophysics
Published: 29 November 2017
Geophysics (2018) 83 (1): E11–E24.
DOI: https://doi.org/10.1190/geo2017-0040.1
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Fuzzy fusion of geological and geophysical data for mapping hydrocarbon potential based on GIS

Zhou Ziyong, Yu Hangyu, Gu Xiaodan
Published: 09 May 2017
Petroleum Geoscience (2018) 24 (1): 131–141.
DOI: https://doi.org/10.1144/petgeo2016-100
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Translating tomographic ambiguity into the probabilistic inference of hydrologic and engineering target parameters

Hendrik Paasche
Journal: Geophysics
Published: 12 April 2017
Geophysics (2017) 82 (4): EN67–EN79.
DOI: https://doi.org/10.1190/geo2015-0618.1
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A fuzzy classification routine for fine-grained soils

Derya Toksoz, Isik Yilmaz, Hakan A. Nefeslioglu, Marian Marschalko
Published: 09 November 2016
Quarterly Journal of Engineering Geology and Hydrogeology (2016) 49 (4): 344–349.
DOI: https://doi.org/10.1144/qjegh2015-061
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Landslide Susceptibility Screening Using Wind-driven Rainfall

J. David Rogers, M. Farooq Ahmed, Elamin H. Ismail
Published: 01 November 2016
Environmental & Engineering Geoscience (2016) 22 (4): 297–318.
DOI: https://doi.org/10.2113/gseegeosci.22.4.297
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3D magnetization inversion using fuzzy c -means clustering with application to geology differentiation

Yaoguo Li, Jiajia Sun
Journal: Geophysics
Published: 11 July 2016
Geophysics (2016) 81 (5): J61–J78.
DOI: https://doi.org/10.1190/geo2015-0636.1
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Joint inversion of multiple geophysical data using guided fuzzy c -means clustering

Jiajia Sun, Yaoguo Li
Journal: Geophysics
Published: 03 May 2016
Geophysics (2016) 81 (3): ID37–ID57.
DOI: https://doi.org/10.1190/geo2015-0457.1
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Estimation of Catchment-Scale Soil Moisture Patterns Based on Terrain Data and Sparse TDR Measurements Using a Fuzzy C-Means Clustering Approach

Ingmar Schröter, Hendrik Paasche, Peter Dietrich, Ute Wollschläger
Published: 01 November 2015
Vadose Zone Journal (2015) 14 (11): vzj2015.01.0008.
DOI: https://doi.org/10.2136/vzj2015.01.0008
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Delineation of Seismic Sources in Probabilistic Seismic‐Hazard Analysis Using Fuzzy Cluster Analysis and Monte Carlo Simulation

A. Ansari, E. Firuzi, L. Etemadsaeed
Published: 23 June 2015
Bulletin of the Seismological Society of America (2015) 105 (4): 2174–2191.
DOI: https://doi.org/10.1785/0120140256
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Multidomain petrophysically constrained inversion and geology differentiation using guided fuzzy c -means clustering

Jiajia Sun, Yaoguo Li
Journal: Geophysics
Published: 22 June 2015
Geophysics (2015) 80 (4): ID1–ID18.
DOI: https://doi.org/10.1190/geo2014-0049.1
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A study of fuzzy c -means coupling for joint inversion, using seismic tomography and gravity data test scenarios

Angela Carter-McAuslan, Peter G. Lelièvre, Colin G. Farquharson
Journal: Geophysics
Published: 01 December 2014
Geophysics (2015) 80 (1): W1–W15.
DOI: https://doi.org/10.1190/geo2014-0056.1
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