Big Data Intelligent Analysis - Study on the Relationship Between Waveform Structural Characteristics The Responses of Paleozoic Oil Layers in the Tahe Oilfield

With the development of seismic exploration technology, the collection and processing of massive seismic data have become an important topic. Big data and artificial intelligence technologies provide new methods and tools for the storage, processing, and analysis of seismic data. This study focuses on the in-depth analysis of the waveform structure characteristics of seismic data from the Paleozoic Ordovician reservoirs in Block 4 of the Tahe Oilfield, Tarim Basin. The results indicate that the Ordovician reservoirs in Block 4 of the Tahe Oilfield exhibit significant responses in waveform structure characteristics of seismic data. Subsequent deployments using the “method for predicting hydrocarbon-bearing formation by waveform structure characteristics of seismic data” in a series of drilling operations have confirmed these findings, significantly improving the drilling success rate and achieving notable economic benefits.