Design and Implementation of an Intelligent Generation System for Drilling Geological Design Based on Big Data

Under the background of digital transformation in the energy industry, the deep integration of artificial intelligence and new-generation information technologies is driving technological innovation in the field of geological exploration. This study addresses the industry pain points of high reliance on manual labor and insufficient standardization in traditional drilling geological design. By constructing a “data mining - knowledge reconstruction - intelligent decision-making” technical system, it innovatively integrates multi-source heterogeneous data fusion analysis, geological engineering parametric modeling, and adaptive optimization algorithms, successfully developing an intelligent drilling geological design generation system with independent intellectual property rights. This system realizes three core functions: intelligent geological data analysis, automatic scheme generation, and real-time iterative optimization. This research not only builds a transferable technical framework for value mining of unstructured data in the oil and gas industry but also proposes an intelligent design paradigm that provides a reusable technical path for the digital transformation of oilfield exploration and development, demonstrating significant economic and engineering application value.