Porosity prediction using fuzzy clustering and joint inversion of wireline logs: A case study of the Nam Con Son basin, offshore Vietnam
Petrophysical properties such as porosity, permeability and fluid saturations are important parameters for reservoir characterisation, which can be determined by experimental constitutive equations between rock parameters and well logging data. Thus, the same rock properties might demonstrate different patterns, depending on the input and equations used. In this work, we used the cross-properties (a common set of rock properties) that influence different measurements to reduce the ambiguity of the petrophysical property definition. We present an approach of using fuzzy c-means clustering to classify the well logs and core data in clusters and then running inversion for each cluster. The obtained results allowed us to establish suitable parameters in constitutive equations, which usually vary with rock units that may relate to clusters. Testing data applied to the Nam Con Son basin show a square correlation coefficient of 0.66 between the predicted and core measurement, suggesting a reasonable matching of the testing data set.
Paolo Dell’Aversana, Giancarlo Bernasconi, Fabio Marco Miotti, and Diego Rovetta, “Joint inversion of rock properties from sonic, resistivity and density well‐log measurements”, Geophysical Prospecting, Vol. 59, No. 6, pp. 1144 - 1154, 2011. DOI: 10.1111/j.1365-2478.2011.00996.x.
Wenting Wu and Dario Grana, “Integrated petrophysics and rock physics modeling for well log interpretation of elastic, electrical, and petrophysical properties”, Journal of Applied Geophysics, Vol. 146, pp. 54 - 66, 2017. DOI: 10.1016/j.jappgeo.2017.09.007.
Per Avseth, Ivan Lehocki, Øyvind Kjøsnes, and Odd Sandstad, "Data‐driven rock physics analysis of North Sea tertiary reservoir sands", Geophysical Prospecting, Vol. 69, No. 3, pp. 608 - 621, 2021. DOI: 10.1111/1365-2478.12986.
Ha Quang Man, Doan Huy Hien, Kieu Duy Thong, Bui Viet Dung, Nguyen Minh Hoa, Truong Khac Hoa, Nguyen Van Kieu, and Pham Quy Ngoc, "Hydraulic flow unit classification and prediction using machine learning techniques: A case study from the Nam Con Son basin, offshore Vietnam", Energies, Vol. 14, No. 22, 2021. DOI: 10.3390/en14227714.
S. J. Cuddy and Paul Glover, "The application of fuzzy logic and genetic algorithms to reservoir characterization and modeling", in Soft Computing for Reservoir Characterization and Modeling. Springer-Verlag Berlin Heidelberg, 2022. DOI: 10.1007/978-3-7908-1807-9_10.
Mohammad-Ali Ahmadi, Mohammad Reza Ahmadi, Seyed Moein Hosseini, and Mohammad Ebadi, "Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: application of artificial intelligence", Journal of Petroleum Science and Engineering, Vol. 123, pp. 183 - 200, 2014. DOI: 10.1016/j.petrol.2014.08.026.
Janmenjoy Nayak, Bighnaraj Naik, and H. S. Behera. "Fuzzy C-means (FCM) clustering algorithm: a decade review from 2000 to 2014", Computational Intelligence in Data Mining, Vol. 2, pp. 133 - 149, 2014. DOI: 10.1007/978-81-322-2208-8_14.
Kristofer Hellman, Thomas Günther, and Torleif Dahlin, "Application of joint inversion and fuzzy c-means cluster analysis for road pre-investigations", EAGE Near Surface Geoscience 2012 - 18th European Meeting of Environmental and Engineering Geophysics, Paris, France, 3 - 5 September 2012. DOI: 10.3997/2214-4609.20143417.
James C. Bezdek, Robert Ehrlich, and William Full, "FCM: The fuzzy C-means clustering algorithm", Computers & Geosciences, Vol. 10, No. 2 - 3, pp. 191 - 203. 1984. DOI: 10.1016/0098-3004(84)90020-7.
Kieu Duy Thong and Anton Kepic, "Seismic‐impedance inversion with fuzzy clustering constraints: An example from the Carlin Gold district, Nevada, USA", Geophysical Prospecting, Vol. 68, No. 1, pp. 103 - 128, 2019. DOI: 10.1111/1365-2478.12891.
Kieu Duy Thong, Anton Kepic, and Cornelia Kitzig, "Classification of geochemical and petrophysical data by using fuzzy clustering", 24th International Geophysical Conference and Exhibition, Perth, Australia, 15 - 18 February 2015. DOI: 10.1071/ASEG2015ab215.
Pham Huy Giao, Pham Hong Trang, Doan Huy Hien, Pham Quy Ngoc, "Construction and application of an adapted rock physics template (ARPT) for characterizing a deep and strongly cemented gas sand in the Nam Con Son basin, Vietnam", Journal of Natural Gas Science and Engineering, Vol. 94, 2021. DOI: 10.1016/j.jngse.2021.104117.
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