Intelligent interpretation and evaluation technique while drilling based on mud logging data

With the increasing complexity of oil and gas reservoirs, the identification of reservoirs and fluid properties has become more and more difficult, which brings more challenges to hydrocarbon discovery and interpretation, economic capacity assessment, and development program formulation, and at the same time, the process of decision-making in efficient exploration and development is particularly important, which puts higher requirements on the real-time and accuracy of interpretation while drilling. At present, the recording and analysis tools are constantly enriched, showing obvious advantages in the identification and evaluation of unconventional and complex hydrocarbon formations, and accumulating a large amount of data, but the interpretation and evaluation still remain at the level of qualitative and manual interpretation. In order to better utilize the advantages of mud logging technology in interpretation while drilling, intelligent interpretation and evaluation techniques have been established, including: (1) Data depth processing-the development of four techniques, such as automatic data review and processing, full data depth correction of mud logging, multi-factor comprehensive correction of gas logging data, and fine inversion techniques for minerals while drilling, to effectively explore the effective information of the original data; (2) Data mining-the development of gray correlation sensitive parameter preference, the rapid establishment of interpretation methods and other 2 technologies, from scattered, disorderly, large amounts of data to mine key data and establish supporting interpretation methods; (3) Automatic interpretation logic-combined with the density of wells in the block, the number of oil test results, and the characteristics of mud logging technology parameters, a cyclic decision tree was established as the core algorithm, realizing the automatic interpretation of hydrocarbon formations in the drilling process; (4) Intelligent matching model-in order to realize the intelligent matching of formulas, methods, and models, a multi-tagged intelligent matching method was established, which realizes intelligent matching of all kinds of interpretation methods during the drilling process through the marking of multiple types of tags. Intelligent matching of various types of interpretation methods is achieved through multiple types of tag marking to realize intelligent interpretation while drilling. Through the research of the above tec