Factorial model prediction for performance of sawdust ash-metakolin blended oil well cement

Abstract

Factorial methods provide an efficient statistical approach to model and optimize oil well cementing material -based on OPC blended with Metakaolin and Sawdust-Ash by systematically investigating the effects of key parameters of cementing slurry and its hardened cake including thickening time, free fluid, fluid loss, slurry density, rheology and compressive strength. The mix design of using Sawdust Ash (SDA) and Metakaolin (MK) as a blend to ordinary Portland cement (OPC) was carried out using a mathematical arrangement of a factorial DOE model allowing percentages blend of the OPC with Metakaolin for 10%,12.5% and, 15% and Sawdust ash at 0%, 5% 10% respectively. Materials for the study were characterized based on physical, chemical, and pozzolanic test parameters. the Design of the Experiment (DOE) was used for two domains three interactive factors (2x3) following the specifications of the America Institute of Petroleum (API) SPEC 10A and 10B). The results obtained showed that Metakaolin blend with OPC alone at 15% were detrimental to rheology but incorporating Sawdust-Ash up to 10% with Metakaolin at both 10% and 15% improved the both the rheology performance, free water within (0.032-1.435%), decreased fluid loss to the recommended API RP-10B range of 50 to 250ml, increased of thickening time, and modulate the control sample (OPC). The interaction effect from the yield output of the model were used to obtain several predictive mathematical models readily needed for Oil well cementing.