A Borehole Porosity Prediction Method with Focusing on Local Shape

Author:

Li Jing,Xu Ting,Zhang Wenting,Liu Haining,Kang Yu,Lv Wenjun

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference42 articles.

1. Predicting porosity, permeability and water saturation applying an optimized nearestneighbour, machine-learning and data-mining network of well-log data;D A Wood;Journal of Petroleum Science and Engineering,2020

2. Estimation of porosity from seismic attributes using a committee model with bat-inspired optimization algorithm;A Gholami;Journal of Petroleum Science and Engineering,2017

3. An unsupervised deep-learning method for porosity estimation based on poststack seismic datadeep learning for porosity estimation;R Feng;Geophysics,2020

4. Evaluation of machine learning methods for formation lithology identification: A comparison of tuning processes and model performances;Y Xie;Journal of Petroleum Science and Engineering,2018

5. Parameters influencing porosity in sandstones: a model for sandstone porosity prediction;M Scherer;AAPG bulletin,1987

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