Mathematical and information support of decision making during the optimization of the formulas of magnesia plugging materials for boring casings cementing in the oil and gas wells

Authors: M.V. Malimon, A.G. Shumikhin, A.V. Anisimov, A.S. Kozlov (Perm National Research Polytechnic University, RF, Perm)

Key words: deep well, dry magnesia cement mix, composition optimization, regression models, case study method.

The production of the dry magnesia cement mixes, intended for the qualitative cementing of the boring cases, overlapping the deposits of water-soluble salts in the oil and gas wells, is labor-consuming process. By this the need for the optimization of their compositions taking into account the chemical activity of the magnesia binding base, features of the mining-geological and engineering-technical conditions of the construction of each concrete well, is caused. As the method, making it possible to operationally optimize the process of the new formula choice, the case study method is selected. The method in question is based on the use of cumulative data on the previously optimized formulas of magnesia plugging materials. The applicability of the solutions, obtained with the aid of the case study method, is checked with the aid of the regression models, created with the use of the three-factor planned experiment, and by conducting control laboratory investigations of the selected according to the case study method formula of dry plugging mixture, prepared under the plant conditions. As a result the possibility of applying the selected method for the operational optimization of formulas at the production of dry magnesia cement mixes is proven.

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