Big Data-Based Evaluation and Application of Oil Well Benefits
摘要
Faced with numerous uncertain factors, including global political and economic fluctuations, oil enterprises must continuously enhance their economic performance and competitive advantage. Single-well benefit evaluation plays a crucial role in enabling oil enterprises to rationally utilize resources, enhance competitiveness, and achieve sustainable development. Based on big data-related technologies, this paper employs the methods of quantitative analysis, dynamic management, and techno-economic coordination to address the limitation of single-well matching, which can only calculate large-block indices in practical financial accounting. This paper discusses and practices the effective evaluation process and evaluation method of single well benefit, and gives the construction method of single well benefit evaluation software. Furthermore, this article explores and practices effective single-well benefit evaluation processes and methods, and provides a method for constructing single-well benefit evaluation software. Application examples in typical oilfield production decision-making show that oil well benefit evaluation enables oil companies to better understand the benefit status of oil wells, control costs, enhance the overall economic benefits of oilfield development, and provide a basis for scientific decision-making.