报告题目：通过新型钻屑分析最大限度地了解油藏流体 (Maximizing Reservoir Fluid Insights Through Novel Drill Cuttings Analysis)
报 告 人：杨涛
报告时间：11月24日 10：30-12：00
报告地点：全国重点实验室A403
报告人简介：
杨涛博士现任挪威Equinor（原挪威国家石油公司）首席科学家，兼任挪威大陆架能源资源可持续利用国家中心（NCS2030）副主席。2021年当选挪威工程院院士，2023年当选挪威皇家科学与文学院院士。长期从事提高原油采收率、储层流体性质及CCUS技术研究，研发实时布井完井技术及实时流体识别机器学习技术，应用于Equinor全球油气项目，获2022年世界石油最佳数据管理和应用解决方案奖。担任国际石油工程师协会（SPE）杰出讲座专家，获SPE莱斯特·尤伦技术卓越奖、北海地区油藏工程技术奖及挪威工程院最高荣誉奖，主导Sleipner CCS项目，兼任《SPE油藏评价与工程》、《地质能源科学与工程》编委。
内容简介：
This presentation outlines a transformative approach to reservoir fluid identification using real-time drill cuttings analysis. Traditionally, obtaining crucial fluid data relies on scarce and expensive PVT samples. In contrast, drill cuttings are abundant and cost-effective, but conventional methods struggle with contamination from oil-based drilling mud. The solution is the innovative application of Gel Permeation Chromatography with Ultraviolet detection (GPC-UV). Building on earlier work, the research introduces key advancements: a 4-column GPC-UV system and multi-wavelength iso-absorbance analysis. This multi-wavelength technique is particularly powerful, as it can distinguish between oil and gas samples and predict a wide range of fluid properties directly from cuttings. This methodology effectively treats "every cutting as a PVT sample, "unlocking significant commercial value. Successful field applications in well placement and reservoir management have validated its effectiveness. The GPC-UV method provides a practical tool for estimating fluid properties like API gravity and paves the way for future integration with AI, marking a substantial leap forward in reservoir characterization.
主办单位：油气藏地质及开发工程全国重点实验室
SPE成都分会
科学技术发展研究院
