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

Abstract

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 24 (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 specification 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 beneficiation process would allow for the design and cost-effective planning of the procedure. The beneficiation of the clay using sodium carbonate and Kelzan® XCD polymer ensued in an improvement in the rheological properties of the formulated drilling mud. These properties were comparable with the API specification 13-A for drilling fluid materials.

Economic Evaluation of Beneficiating Nigerian Bentonite Using Periwinkle Shell and Mucuna Solannie

“…Hence the need for rheological properties improvement is therefore necessary through beneficiation by increasing the additives' concentration. If the concentration of beneficiating agents is increased from 7-8g, the dial reading will definitely meet the API standard [24,25]. From table 4 also, with the increase in the additives, the obtained filtrate volume decreased from 27ml to 12ml which meets the API standard in accordance with [24] which states that the acceptance of DF as additive for fluid loss is only when the used additives gives below 15mL volume of filtrate loss over 30minutes time.…”

Modification of the Vipulanandan rheological model with correlation for temperature and electrolyte effect on drilling muds

“…Where µ s,eff represents the corrected solvent viscosity for salinity, k µ is a salinity correction factor taking into account as well the effect of temperature and can be represented by (17) as obtained by Brakstad and Rosenkilde [21].…”

“…Where C s is the total sum of salts in solution in g L ⁄ . The constants A 1 and A 2 in equation (17) are temperature dependent constants given by…”

“…For that reason, the large number of model parameters can be challenging and not easy to estimate via non-linear regression analysis. Currently, the use of existing time independent rheological models in its present form for drilling muds would require a data-driven approach where models are regressed to shear stress-shear rate values [17]. Furthermore, accounting for the effect of new conditions would require the rheological constants of the models to be expressed as a function of new factors of interest (such as temperature or salinity).…”

Catalytic gasification of oil palm empty fruit bunch by using Indonesian bentonite as the catalyst

“…Bentonite has different characteristics in each region, which causes its use as a particular medium that needs to be studied further. For example, bentonite from Africa (African bentonite) is widely used as a remediation [26] and removal process [27], and bentonite from Nigeria (Nigerian bentonite) is used in the mud formulation drilling process [28], [29]. Inclusion of the origin of natural bentonite needs to be done to identify the difference both in terms of its utilization and the location where the ben-…”