Research on intelligent decision support systems for oil and gas exploration based on machine learning.

The process of extracting oil and gas via borehole drilling is largely dependent on subsurface structures, and thus, well log analysis is a major concern for economic feasibility. Well logs are essential for understanding the geology below the earth's surface, which allows for the estimation of the available hydrocarbon resources. The incompleteness of these logs, on the other hand, is a major hindrance to downstream analysis success.

Significant Control of Gas Invasion to the Phase Behavior of Deep-Seated Hydrocarbon Fluids in Western Junggar Basin, NW China.

In the western Junggar Basin, various oil and gas phases, such as black oil, volatile oil, condensate, and gas, have been discovered and reported. However, the primary factors responsible for the variations in oil and gas phases in different regions of the basin are not yet clearly understood. This study uses geochemical analyses, numerical simulations, and geological analyses to determine the extent of gas invasion in different regions, simulate the mechanism of gas invasion altering phase behavior, and shed light on its significant impact on fluid phases in hydrocarbons across diverse regions.

Geochemical characterization of Lucaogou Formation and its correlation of tight oil accumulation in Jimsar Sag of Junggar Basin, Northwestern China.

With the constant consumption of conventional oil and gas resources, unconventional oil and gas resources with great resource potential such as tight oil have gradually been valued and become the new exploration area. Jimsar Sag is the key tight oil exploration and development block in Junggar Basin of Northwestern China. Based on the data sets of geology, oil production test, logging, rock thin section, and geochemistry of Permian Lucaogou Formation (LCG), we studied the geochemical characteristics of hydrocarbon source rocks and their relation to the tight oil accumulation.