Multilinear Regression Model to Estimate Mud Weight

Oloro J. O.1,* and Akhihiero T. E.2

1 Department of Chemical and Petroleum Engineering, Faculty of Engineering, Delta State University, Abraka, Nigeria
2 Department of Chemical Engineering, Faculty of Engineering, University of Benin, Benin City, Edo State, Nigeria

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 Vol. 5 No. 1  | March 2021 | Pages 1 – 12    |   Cite this article



Estimation of mud weight poses a serious challenge to mud industries. In this study, a model was developed to tackle the problem of estimation of mud weight using multilinear regression techniques. The model was developed using data obtained from production records. The data include mud weight, water and other chemicals (materials) for nine different samples. The data were analysed to establish linearity and the data was substituted into the multiple regression to form a matrix with nine unknown regression parameters which was substituted into the regression equation to form the model. T-test and F –test was used to validate the model. Results from the test suggest that the developed model was reliable. The model was used to estimate mud weight for four samples and the results are reliable. The effect of each variable was also considered and results also show that each of the variables affects the mud weight.

Keywords: Regression, Fluid, Mud weight, Caustic soda, Barite

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Cite this article as:

Oloro J. O. and Akhihiero T. E., 2021. Multilinear Regression Model to Estimate Mud Weight. Nigerian Journal of Environmental Sciences and Technology, 5(1), pp. 1-12.

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