oa The Physical and Mechanical Characteristic’s Estimates of Rocks of the Well Sections by the Predictive Theoretical-Empirical Technique

On the basis of the developed and substantiated physical and mathematical approaches, an effective theoretical-empirical technique of predicting the oil and gas saturation of rocks in well sections based on the data of AK and core studies was created, in particular, a mathematical apparatus was developed for the theoretical-empirical method of predicting the oil and gas capacity of well sections based on a combination of a physical-mathematical model of rocks-collectors as fluid-filled porous nonlinear-elastic geophysical medium, empirical correlation ratios between elastic and reservoir characteristics of such rocks, as well as acoustic logging (AL) data, using the key parameter in the calculations of the compressibility of rocks β. The representation of the well section by a thin-layered model, each layer of which corresponds to the value of the interval time (∆t) according to AL, is applied, which ensures the detection of thin layers with cracking in the well sections that are common in nature and extremely important for effective oil and gas extraction, and the methods of its application to increase the efficiency of hydrocarbon exploration and extraction. Variants of predictive technique using gamma logging, electrical logging, and offset data have also been developed. The technique is implemented as a set of programs in Fortran, C# and Excel environments. Testing of the technique was carried out on the data of sections of a number of wells of oil and gas-bearing structures of the Western oil and gas region (WOGR) with reliable predicting results. The directions for the further development of the technique include the presented methods of its application for the assessment of fracturing and the determination of rock types in the layers of well cuts, which are important for predicting the oil and gas capacity and for further efficient extraction of hydrocarbons. The results of the application of the technique are shown on the examples of well data and data of the parametric database of rock-collectors of the Western Ukraine.