Prediction study of hydrocarbon reservoir based on time–frequency domain electromagnetic technique taking Ili Basin as an example

The time–frequency domain electromagnetic (TFEM) sounding technique can directly detect oil and gas characteristics through anomalies in resistivity and polarizability. In recent years, it has made some breakthroughs in hydrocarbon detection. TFEM was applied to predict the petroliferous property of the Ili Basin. In accordance with the geological structure characteristics of the study area, a two-dimensional layered medium model was constructed and forward modeling was performed. We used the forward-modeling results to guide field construction and ensure the quality of the field data collection. We used the model inversion results to identify and distinguish the resolution of the geoelectric information and provide a reliable basis for data processing. On the basis of our results, key technologies such as 2D resistivity tomography imaging inversion and polarimetric constrained inversion were developed, and we obtained abundant geological and geophysical information. The characteristics of the TFEM anomalies of the hydrocarbon reservoirs in the Ili Basin were summarized through an analysis of the electrical logging data in the study area. Moreover, the oil–gas properties of the Permian and Triassic layers were predicted, and the next favorable exploration targets were optimized.