The paper proposes a new technology for fluid production intensification, in particular hydrocarbons, which is implemented via significant increasing of the local wellbore diameter in the interval, where the productive stratum is present. The proposed technology improves the well productivity by increasing the filtration surface area and opening new channels for filtering fluids into the well. The innovative, technical idea is to drill large diameter circular recesses in planes perpendicular to the well axis. After that, the rock mass located between the circular recesses are destroyed by applying static or dynamic axial loads. The required value of the axial force is provided by the weight of the standard drilling tool. As a result of the study, the analytical relations to specify the admissible radius of circular recesses and admissible thickness of rock mass between two adjacent circular recesses from the condition of safe operation are obtained. The numerical analysis carried out for typical reservoir rocks substantiated the possibility of well diameter local reaming twenty times. A special tool for circular recess drilling is developed and the principle of its operation is described. The advantage of the proposed approaches is the low energy consumption for well diameter reaming. Our technology will have special economic expediency for the intensification of production from hydrodynamically imperfect wells and under the condition of fluid filtration according to the expressed nonlinear law.

Two plans were used: classical and factorial (rational) during experimental research. Classical plan is used when the number of external independent factors is not more than two. Increasing number of external factors leads to using of rational experiment planning which allows to significantly reduce the number of combinations of these factors. For example, with four external factors that change at four levels according to the classical plan number of combinations 44=256. Rational planning of the experiment reduces number of these combinations to 16. To process results of the factorial experiment using two methods proposed by M. M. Protodiakonov and R. S. Yaremiychuk. The article presents a step-by-step method of processing the results of a factorial experiment with an example of simultaneous use of these methods. Comparing the results of processing, the authors believe that the best results are obtained using the Protodiakonov’s method. The authors tested two types of multifactorial empirical model of multiple correlation, one of which is given by the product of partial empirical dependences, the second – by the sum. Using these models there were found that the results of factor experiment processing should be represented by a multifactor empirical model, which is presented by the product of partial empirical dependences.