今年以来，西南油气田公司围绕“EUR采出最大、投入产出比最小、能量利用最优”工作目标，坚持“地下井筒地面一体化”研究思路，控制好老井综合递减率，支撑页岩气长期稳产，保障“压舱石”工程稳步推进。

西南油气田公司强化自主创新能力，建立了储层、井筒流动能量评价技术和工艺适应性图版，有效支撑了采气工艺效果分析。综合页岩气储层、井筒流动能量消耗模型，水平井筒变质量流压降公式，建立了储层-井筒耦合能量消耗表征技术，实现页岩气井不同生产阶段能量消耗评估。基于井筒压降方程绘制流出曲线，结合不同流态下的临界携液/失效区建立工艺措施适应性评价图版，实现定性分析工艺在不同阶段的运行效果。

突出数智赋能，打造智能业务流程，积极构建动态跟踪BI场景和动态分析工作流，打破线下动态跟踪分析传统模式，实现了页岩气日常动态跟踪分析“上线入云”。依托动态跟踪BI场景，把产量运行、EUR对比、方案对标等高频分析内容转化为线上标准图件，实现了生产动态数据实时展示、规律实时分析、异常实时预警，不断提升动态跟踪质量和分析效率。建立动态分析工作流，形成了基于部署、钻井、改造、返排、生产业务流的动态分析流程模板。

Since the beginning of this year, Southwest Oil and Gas Field Company has focused on the work goals of "maximum EUR production, minimum input-output ratio, and optimal energy utilization", adhered to the research idea of "underground shaft surface integration", controlled the comprehensive decline rate of old Wells, supported the long-term stable production of shale gas, and ensured the steady progress of the "ballast stone" project.

Southwest Oil and Gas Field Company strengthened the ability of independent innovation, established the reservoir and wellbore flow energy eva luation technology and process adaptability chart, which effectively supported the analysis of gas production process effect. Based on the energy consumption model of shale gas reservoir and wellbore flow and the variable mass flow pressure drop formula of horizontal wellbore, the reservoir and wellbore coupling energy consumption characterization technology is established to realize the energy consumption assessment of shale gas Wells in different production stages. The flow curve is drawn based on the wellbore pressure drop equation, and the adaptability eva luation chart of process measures is established in combination with the critical liquid carrying/failure zone under different flow modes, so as to realize the qualitative analysis of the operation effect of the process in different stages.

Highlight the ability of data intelligence, create intelligent business processes, actively build dynamic tracking BI scenarios and dynamic analysis workflows, break the traditional mode of offline dynamic tracking analysis, and realize the daily dynamic tracking analysis of shale gas "online into the cloud". Relying on the dynamic tracking BI scenario, the high-frequency analysis content such as output operation, EUR comparison, and scheme benchmarking is converted into online standard maps, realizing real-time display of production dynamic data, real-time analysis of rules, and real-time warning of anomalies, and constantly improving the quality of dynamic tracking and analysis efficiency. The dynamic analysis workflow is established, and the dynamic analysis flow template is formed based on deployment, drilling, reconstruction, flowback and production flow.