非构造圈闭作为增加资源和扩大油气产量工具的展望

O. B. Begimbetov, D. T. Kaliyev, A. B. Dauletov
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引用次数: 0

摘要

过去主要通过构造圈闭的标准背斜和断层类型来识别目前处于成熟和/或后期开发阶段的大部分活跃田。考虑到在具有良好的地质和地球物理覆盖范围和发达的基础设施的领土内没有多少构造圈闭未被发现,因此更加需要把重点放在需要大量初期投资来进行勘探工作的偏远地区。作为增加资源基础和扩大附近已开发油田产量的替代方法,建议寻找小型非构造圈闭,利用三维地震数据识别较大构造圈闭的卫星。这类圈闭可能具有较低的地质风险,不需要大量投资。将地震资料定量解释结果与非构造圈闭识别的地质原理相结合,建立了横向覆盖研究区域、不同地层的岩性圈闭前景数据库。这种综合方法可以在识别有希望的非构造圈闭时降低地质风险。由于每个对象的资源潜力都很小,为了提高项目整体的投资吸引力,必须对一组相互协同的非结构性圈闭进行勘探开发。由于隐私政策,区域名称、井名、坐标数据等类似信息被隐藏或故意更改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perspectives of non-structural traps as a tool for increasing resources and expanding hydrocarbon production
Most of the active fields, which are currently at a mature and/or late stage of development, were identified in the past by focusing on standard anticlinal and fault types of structural traps. Considering that, not many structural traps left undiscovered within the territories with good geological and geophysical coverage and developed infrastructure, there is an increased need to focus on remote regions that require large initial investments to carry out exploration work. As an alternative approach for increasing the resource base and expanding production for nearby developed fields, it is proposed to look for small non-structural traps, satellites of larger structural traps identified using 3D seismic data. These kinds of traps might have low geological risks and will not require large investments. By combining the results of quantitative interpretation of seismic data with geological principles of identifying promising non-structural traps, a database of promising lithological traps was prepared, covering the area of study laterally and encompassing different stratigraphic layers. This integrated approach makes it possible to reduce geological risks when identifying promising non-structural traps. It is important to carry out exploration and development of a group of non-structural traps in synergy with each other in order to increase the investment attractiveness of the project as a whole, due to the small resource potential of each of the objects. Due to the privacy policy, the names of areas, wells, coordinate data, and other similar information is hidden or deliberately changed.
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