ACHIEVING BEST PRACTICES IN LOG PRE-PROCESSING FOR FACIES AND PERMEABILITY MODELING

Awuyo, Olabode and Fadairo, A. S. A. (2019) ACHIEVING BEST PRACTICES IN LOG PRE-PROCESSING FOR FACIES AND PERMEABILITY MODELING. International Journal of Mechanical Engineering and Technology (IJMET), 10 (1). pp. 1555-1564. ISSN Print: 0976-6340 and ISSN Online: 0976-6359

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Abstract

This paper relates the best practices in Log preprocessing in Petrophysics which are necessary to have a good model for Facies and Permeability. The well-logs which were used for the Electrofacies modeling and permeability modeling consist of Gamma-Ray(GR), Bulk Density Porosity(RHOB) Neutron porosity(NPHI). Meanwhile, the model distinct type of facies consists of sand, Shaly sand, and shale. Precise Electrofacies sorting was accomplished by the Multi-Resolution Graph-based Clustering (MRGC). The improvement in the Logs from the Well-X1 after undergoing pre-processing like Log Normalization, Compaction Effect Removal, Fluid Effect Removal returned the logs to their natural states and were used as input into Multi- Resolution Graph-based Clustering (MRGC) model to produce better output Facies and Permeability when compared to the Output which did not undergo preprocessing. These practices can be utilized to validate very good Facies and Permeability Models

Item Type:	Article
Uncontrolled Keywords:	Log Processing, Log Normalization, Compaction Effect Removal, Fluid Effect Removal, Facies modeling, Permeability modeling
Subjects:	T Technology > TP Chemical technology
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	Mrs Patricia Nwokealisi
Date Deposited:	15 Apr 2019 10:06
Last Modified:	15 Apr 2019 10:06
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/12595

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