Dataset on the beneficiation of a Nigerian bentonite clay mineral for drilling mud formulation

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This paper presents dataset on the beneficiation of a Nigerian clay
mineral for drilling mud application. The experimental design
applied used a Response Surface Design (RSM), which involved 2
4
(2-Level, 4-Factors) to generate statistical models, and analyze the
dataset. The independent variables were (Bentonite;
X1), (Polymer;
X2), (Sodium Carbonate, X3) and (Aging Time; X4). The rheological
properties of interest, which forms the response variables, were
selected based on the API speci
fication 13-A for drilling grade
bentonite. The outcomes show that the second-order statistical
models derived from responses
fitted well with the experimental
results. Predictive models obtained from the statistical characterization of the bene
ficiation process would allow for the design and
cost-effective planning of the procedure. The bene
ficiation of the
clay using sodium carbonate and Kelzan
s XCD polymer ensued in
an improvement in the rheological properties of the formulated
drilling mud. These properties were comparable with the API
speci
fication 13-A for drilling fluid materials.

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