Characterization of low resistivity reservoir with artificial neural network seismic inversion and pressure data: Case study from Meruap Field in South Sumatra basin, Indonesia-Reference-Cited by-同舟云学术

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Characterization of low resistivity reservoir with artificial neural network seismic inversion and pressure data: Case study from Meruap Field in South Sumatra basin, Indonesia

Published:2019-04-29 Issue: Volume: Page:
ISSN:
Container-title:The 13th SEGJ International Symposium, Tokyo, Japan, 12–14 November 2018
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Author:

Wirawan Rahadian Anggit¹,Purnomo Eddy¹,Anggraini Bily¹,Supriono Hadi¹,Prakoso Muhammad Himawan¹,Mardiyan Hilman¹,Ranukusumo Bondan¹

Affiliation:

1. Samudra Energy LLC

Publisher

Society of Exploration Geophysicists and Society of Exploration Geophysicists of Japan

Reference5 articles.

1. Genetic‐algorithm/neural‐network approach to seismic attribute selection for well‐log prediction

2. Reservoir characterization from seismic attributes: An example from the Peciko Field (Indonesia)

3. Ginger, D., Fielding, K., 2005, Proceedings Indonesian Petroleum Association, 67-89.

4. Liu, Z.P., Liu, J.Q., Castagna, J.P., and Pan, C.H., 1998, an iterative inversion of seismic data constrained by wells using artificial neural networks: Offshore Technology Conference.

5. Sun, Q., Castagna, J., and Zhengping, L., 2000, AVO inversion by Artificial Neural Networks (ANN): 70th Ann. Mtg., Soc. Expl. Geophys., Expanded Abstracts, 130-133.

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