Spatial estimation for 3D formation drillability field: A new modeling framework

Author:

Gan Chao,Cao Wei-Hua,Liu Kang-ZhiORCID,Wu Min

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Hubei Provincial Technical Innovation Major Project

111 project

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference37 articles.

1. Drillability Assessment in Deepwater Exploration;Albertin,2003

2. Polynomial and nonparametric regressions for efficient predictive proxy metamodeling: application through the CO2-EOR in shale oil reservoirs;Al-Mudhafar;J. Nat. Gas Sci. Eng.,2019

3. Bayesian Kriging for reproducing reservoir heterogeneity in a tidal depositional environment of a sandstone formation;Al-Mudhafar;J. Appl. Geophys.,2018

4. Integrating core porosity and well logging interpretations for multivariate permeability modeling through ordinary kriging and Co-kriging algorithms;Al-Mudhafar;Offshore Technology Conference,2018

5. Computational intelligence based prediction of drilling rate of penetration: a comparative study;Ahmed;J. Petrol. Sci. Eng.,2019

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