Organization
State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development, Beijing, 102206, China
Sinopec Research Institute of Petroleum Engineering Co. Ltd., Beijing, 102206, China
摘要
录井既是一项油气勘探技术，也是一项石油工程技术，其重要性不言而喻，但进步相对缓慢，特别是录井往什么方向发展、如何发展困扰着科技管理和技术研发人员。为此，针对中国石化“十三五”期间研发的录井技术，着重从钻井液含油性、钻井液性能2个方面分析了钻井液在线录井技术的进展；从元素在线检测、三维核磁共振、激光共聚焦、岩屑声波4个方面分析了岩样录井技术的进展；从钻井液混源含油性识别评价、页岩不同赋存状态的油水信息识别评价、基于元素的地层多参数求取及应用、不同赋存状态的气体碳同位素4个方面分析了录井评价方法的进展。在此基础上，进一步剖析了“深、高、多、非、低、薄、微、新”等复杂地质工程条件对录井实时性、准确性、全面性和经济性提出的需求，提出要从解谱解耦、数据恢复、多元融合、通用模型等方面深化录井基础研究，从标准化、自动化、在线化、一体化和智能化等方面突破现有采集模式，从单项技术挖潜、多项技术融合、人工智能引入、新兴领域支撑等方面创新解释评价方法。这些研究方向的提出，对推动中国石化录井技术进步、促进录井行业高质量发展具有指导意义。
Abstract
Surface logging is an oil and gas exploration technology and petroleum engineering technology, whose progress is relatively slow despite its self-evident significance. In particular, the development directions for surface logging and how to develop it are plaguing the science and technology management personnel and technology researchers. Hence, an analysis of the progress of online surface drilling-fluid logging was made in terms of oil content and performance for the surface logging technology developed by Sinopec during the 13th Five-Year Plan period. The progress of surface logging with rock samples was investigated from the aspects of online detection of elements, three-dimensional nuclear magnetic resonance (NMR), confocal laser, and acoustic logging of cuttings.The advances made in logging evaluation methods were analyzed from the perspectives of the identification and assessment of oil content in the mixed sources of drilling fluids, identification and evaluation of oil and gas data on shale in different occurrence states, calculation and application of multiple formation parameters based on elements, and carbon isotopes of gas in different occurrence states. On this basis, the requirements of "deep, high, many, non, low, thin, micro, new" posed by complex geological and engineering conditions for the timeliness, accuracy, comprehensiveness, and economy of surface logging were discussed. Finally, it was proposed that the basic research on surface logging should be deepened in terms of spectrum decomposition and decoupling, data recovery, multiple fusion, general models, etc. Breakthroughs should be made in acquisition modes from the aspects of standardization, automation, online, integration and intelligence, and interpretation and evaluation methods should be innovated by the potential tapping of a single technology, the fusion of multiple technologies, the introduction of artificial intelligence, and the support of emerging fields. It is believed that the proposed research directions are of guiding significance for boosting Sinopec’s surface logging technology and high quality development of the surface logging industry.
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