CONSTRUCTION OF MULTILEVEL STATISTICAL MODELS FOR PREDICTING WETTABILITY INDICATORS OF EASTERN LAMBEISHOR AND YAREYU FIELDS

Abstract

Link for citation: Saetgaraev A.D., Galkin V.I., Putilov I.S., Nevolin A.I. Сonstruction of multilevel statistical models for predicting wettability indicators of Eastern Lambeishor and Yareyu fields. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2023, vol. 334, no. 5, рр.63-69. In Rus. The relevance. All domestic standards for laboratory studies of core oil and gas reservoirs prescribe to clean it from hydrocarbons by extraction. Cleaning of core samples is included in the stage of preparation for the main types of research. For this, a wide range of different solvents and special extraction and distillation apparatuses are used. Core samples placed in the apparatus undergo multiple cleaning cycles for a long time with high -temperature exposure. This approach to the preparation of core samples is traditional and is used for both standard and special studies. However, extraction leads to a distorted understanding of the natural wettability of the rock surface, which is subject to change and, as a rule, hydrophilizes. In this regard, it is of scientific and practical interest to assess rock wettability at various stages of sample preparation – before and after the extraction. The main aim: development of a methodology for predicting the wettability of core samples before extraction from hydrocarbons using statistical research methods. Objects: core samples of the Zadonskaya deposit (D3zd) of the Eastern Lambeishor field, Artinskaya (P1ar) and Assel-Sakmarskaya (P1a+s) deposits of the Yareyu field. Methods: Amott (Amott–Harvey) method, statistical methods. Results. With the help of a set of laboratory studies using various statistical methods, a methodology was developed for predicting the values of the wettability index for oil before extraction based on the porosity and permeability properties of core samples.