METHOD AND SYSTEM FOR OPTIMIZING LABORATORY ANALYSIS OF ROCK SAMPLES Russian patent published in 2020 - IPC G01N35/00 G06T1/40 

FIELD: mining; data processing.

SUBSTANCE: group of inventions relates to means of optimizing laboratory analysis of rock samples taken from an oil-and-gas bearing formation. Essence: standard laboratory studies of rock samples are performed, the results of which are used to form a database on analysis of formations. Using the obtained results of standard laboratory studies of rock samples as input data, basic predicative models are used to predict missing rock characteristics for each sample using machine learning algorithms. Using as input data obtained results of standard studies of rock samples and results of prediction of missing characteristics of rocks, obtained using basic predictive models, machine learning creates predictive models of the second group to determine corrections to formation conditions and to predict rock characteristics in thermobaric conditions. Using as input data obtained results of rock samples analysis, results of prediction of missing rock characteristics, obtained using basic predictive models, and the results of prediction of rock characteristics in thermobaric conditions, obtained using predictive models of the second group, by means of machine training create predictive models of the third group for prediction of multidimensional characteristics of reservoir rocks. Using all created predictive models, rock characteristics are predicted. All obtained results of forecasting rock characteristics are entered into a database on analysis of formations. Current degree of reservoir study is assessed based on accuracy of obtained prediction results and significance of new investigations is evaluated to increase current degree of study of formation. Based on the evaluation results of the current study of the formation, the program and the volume of laboratory tests of the samples are corrected. System for method implementation comprises base (1) of formation survey data, module (2) for rock characteristics prediction, module (3) for evaluation of formation investigation degree and module (4) for program optimization and volume of laboratory tests of samples, designed to correct program and volume of laboratory studies based on evaluation of current degree of study of formation.

EFFECT: technical result: providing fast and high-quality processing of laboratory research results with possibility of scaling these results on entire section of productive deposits of oil-and-gas bearing formation.

8 cl, 4 dwg