An integrated workflow for oil-bearing prediction using seismic information and well log data

使用地震信息和测井数据进行含油预测的集成工作流程

• 批准号: 532227-2018
• 负责人: Liao, Wenyuan
• 金额: $ 3.5万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=698198
• 关键词: integrated; workflow; oil; bearing; prediction

Challenger Geoinstruments Canada Ltd. is a Calgary-based Company which provides high quality onshore, shallow water and down hole seismic services to the oil and gas industry. The core services of the company include geophysical consulting, seismic data processing, interpretation and well log data analysis. Improving well-drilling success rate is a challenging task, which is critical for oil and gas company to control operational cost, and important to protect Canada's environment. It has been shown that combining multiple sources of information to determine the well-drilling location will significantly enhance the success rate. For example, a high-resolution subsurface image of the potential oil field, which can be created through full waveform inversion (FWI) method, is of great importance in this process. On the other hand, FWI suffers from severe issues such as sensitivity on the initial model and high computational cost. Challenger Geoinstruments Canada Ltd. has a professional team of geophysicists (most of them are APEGGA Members and PhDs) and technicians with extensive knowledge and experience in a broad range of geophysical methods for oil and gas exploration, mining, environmental and engineering projects. However, they lack expertise and experiences in FWI. My research group at the University of Calgary mainly focuses on computational methods for FWI and related problems. Recently we have made progress and developed new algorithms, which require real seismic data from oil fields for validation. Moreover, to build a reliable initial model, we need high-quality well-log data analysis, which is not available in my research group. We will collaborate with Challenger Geoinstruments Canada Ltd. to develop an integrated workflow for oil-bearing prediction by combining our knowledge, expertise and other research resources.

Challenger GeoInstruments Canada Ltd.是一家位于卡尔加里的公司，为石油和天然气行业提供高质量的陆上，浅水和下孔地震服务。该公司的核心服务包括地球物理咨询，地震数据处理，解释和良好的日志数据分析。提高良好的成功率是一项艰巨的任务，这对于石油和天然气公司控制运营成本至关重要，对于保护加拿大的环境很重要。已经表明，结合多个信息来源来确定井井有条的位置将显着提高成功率。例如，在此过程中，可以通过完整波形反转（FWI）方法创建的潜在油田的高分辨率地下图像非常重要。另一方面，FWI遭受了严重的问题，例如对初始模型的灵敏度和高计算成本。 Challenger GeoInstruments Canada Ltd.拥有一支专业的地球物理学家团队（其中大多数是Apegga成员和博士学位）和技术人员，具有广泛的知识和经验，具有多种用于石油和天然气勘探，采矿，环境和工程项目的地球物理方法。但是，他们缺乏FWI的专业知识和经验。我在卡尔加里大学的研究小组主要关注FWI和相关问题的计算方法。最近，我们取得了进步并开发了新的算法，这些算法需要从油田中进行实际地震数据才能验证。此外，要构建一个可靠的初始模型，我们需要高质量的井数据分析，这在我的研究小组中不可用。 我们将与Challenger GeoInstruments合作加拿大有限公司合作，通过结合我们的知识，专业知识和其他研究资源来开发一个集成的工作流程，以进行油性预测。