On the 25th, it was learned from Daqing Oilfield that, in order to further revitalize the difficult-to-produce reserves in the Xingnan Development Zone and steadily improve development efficiency, technicians from the No. 5 Oil Production Plant of Daqing Oilfield have successfully built a development-zone-level 3D fine geological model after three years of dedicated effort. This model fills the technical gap in fine modeling of thin-layer reservoirs in the oilfield, injecting strong technical momentum into the deep potential tapping of mature oilfields.

The Xingnan Development Zone has now entered the middle and late stages of development, where subsurface geological conditions are extremely complex, and the pressure to maintain stable and increased production continues to grow. Thin-layer reservoirs in the area account for as much as 61.8% of production, characterized by minimal sand body thickness, fragmented distribution, and variable morphology. For a long time, production capacity enhancement in the block has been constrained by issues such as insufficient modeling accuracy and difficulties in integrating multiple data types, with related modeling technologies also representing a previous gap in the industry.

Faced with challenges such as the complex structure of thin-layer reservoirs, significant vertical stratigraphic differences, and stringent modeling technical standards, the technical team from the No. 5 Oil Production Plant broke away from the traditional inherent approach of single-source data modeling. Based on a high-precision structural framework, they integrated multi-dimensional data including sedimentary facies identification, formation petrophysical parameters, and field perforation measurements to build a linked quality control analysis system, accurately replicating the microscopic geological features of the thin-layer reservoirs.

This innovative breakthrough in modeling technology effectively clarifies the oil and gas distribution patterns in thin-layer reservoirs, accurately pinpoints remaining oil enrichment areas, and significantly improves the accuracy of dynamic reservoir prediction. Subsequently, this model will be comprehensively applied to practical production scenarios such as well placement, stimulation treatment, and reserve utilization, driving the efficient development of mature oilfields with digital modeling technology, and continuously promoting the dual improvement of recovery factor and development efficiency in the Xingnan Development Zone.