«Oilfield engineering»

Substantiation of wells selection for acid treatment without workover and forecasting of the measures technological efficiency

UDC: 622.276.63
DOI: 10.33285/0207-2351-2022-3(639)-31-40

Authors:

¹ LUKOIL-Perm, Perm, Russia
² Perm National Research Polytechnic University, Perm, Russia

Keywords: acid treatment, technologies without workover, acid composition, carbonate reservoir, factor analysis, discriminant analysis, evaluation of the effectiveness of measures, machine learning

Annotation:

Acidizing is one of the most common methods of increasing the productivity of producing wells that develop carbonate deposits. The technology of acidizing without workover appears to be a promising alternative to standard treatments of the bottomhole formation zone. Traditional treatment of the bottomhole formation zone is carried out with the setting up of a major overhaul team and takes about 15 days. The development of workover-free technologies and the introduction of new acid compositions allow reduction of treatment up to five days which seems to be economically feasible for a subsoil user enterprise. The field experience of using this type of acid treatment at the deposits of the Perm region is more than four years. However, in a number of cases, it cannot be argued that there is an effect of acidizing without major repairs, but rather the optimization of the operation of downhole pumping equipment. Based on the analysis of field data using various statistical methods, the effectiveness of these repair-free technologies was confirmed and the duration of the effect after the implementation of the measure was estimated, the most promising and least expedient objects were identified for continuing the treatment. Criteria for improving the quality of candidate wells selection for subsequent geological and technical measures have been updated. For the entire sampling, a statistical model was formed to predict oil production increase after repair-free acidizing of the bottomhole zone, depending on the set of defining geological and technological parameters. The model showed a high convergence with the actual data.

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