学术报告

报告题目： Using Distributed Acoustic Sensor by Fiber Optic Sensing Technology for Fracture Diagnosis

报 告 人：Ding Zhu 教授，博士生导师，SPE杰出会员

时    间： 2019年4月3日（周三）上午8:30-10:00

地    点：国家重点实验室A403学术报告厅

报告人单位：美国德州农工大学石油工程系

欢迎全校师生参加！

报告内容：Downhole sensing technology today provide engineers continuous measurements for flow condition diagnosis. The measurements include temperature, pressure, acoustic, and strain, with distributed temperature sensors (DTS) and distributed acoustic sensors (DAS) being more commonly used compared with other measurements. Since the optical fiber technology introduced to the industry, it has advanced dramatically. Many field applications have been proven effective and beneficial. From downhole flow condition characterization, we can diagnose flow problems, monitor, control, and optimize producing and injecting well performance, monitor well stimulation, both matrix acidizing and hydraulic fracturing, and optimize treatment designs. There are rich field application examples to show the potential of the technology.

One of the keys of applying downhole sensing technology is to develop models and methodologies to interpret the senor measurements. This is challenging, because from data collection and processing, to model development, to invert the measured parameters to flow profiles, it is extremely mathematical and computationally intensive. In this lecture, we will review current status of downhole sensing technology, explain the available models and approaches for interpretation, and present field application examples including production profiling, horizontal well flow control, matrix acidizing optimization and multi-stage hydraulic fracture diagnosis. The lecture is based on publications by the author and other SPE publications. The lecture illustrates the power of DTS as a tool for production problem diagnosis and well performance optimization.

Initial DAS interpretation model of flow distribution was developed to compare with the DTS interpretation. The across-interpretation of DTS and DAS confirms that approach and decreases the uncertainty of interpretation.

报告人简介:

 Ding Zhu is a Professor the Harold Vance Department of Petroleum Engineering at Texas A&M University. She Holds a BS degree in mechanical engineering from the University of Science and Technology, Beijing, China, a MS and PhD degree in Petroleum Engineering, both from the University of Texas at Austin. Her research areas are production engineering, well stimulation, intelligent well modeling and complex well-performance optimization. Dr. Zhu is an author of more than 160 technical papers, a co-author of three text books, Petroleum Production Systems (2nd edition), SPE book Multilateral Wells, and Modern Completion Technology for Oil and Gas Wells. She has been a committee member and chairperson for many conferences and events with Society of Petroleum Engineers, and is currently an associate editor for SPE Production and Operation Journal. She is a Distinguished Member of SPE.

油气藏地质及开发工程国家重点实验室

西南石油大学科研处

石油与天然气工程学院

SPE成都分会

西南石油大学SPE学生分会

2019年3月26日