| 蚂蚁属性优化断层识别技术 |
| |
| 引用本文： | 李宏伟, 白雪莲, 崔京彬, 万忠宏, 袁世洪, 楚万长. 蚂蚁属性优化断层识别技术[J]. 煤田地质与勘探, 2019, 47(6): 174-179. DOI: 10.3969/j.issn.1001-1986.2019.06.026 |
| |
| 作者姓名： | 李宏伟 白雪莲 崔京彬 万忠宏 袁世洪 楚万长 |
| |
| 作者单位： | 1.中国石油集团东方地球物理公司物探技术研究中心，河北 涿州 072750 |
| |
| 基金项目： | 国家科技重大专项课题（2017ZX05018-001）；中国石油集团软件开发重大专项项目（2016E-1004） |
| |
| 摘 要： | 在地震地质勘探领域，蚂蚁属性越来越普遍地用于断裂系统的快速识别，而在实际应用过程中，基于三维地震数据提取的蚂蚁属性，不论是沿层切片（平面）还是剖面上往往显示杂乱无章，对断裂系统的刻画与地震同相轴的分布特征并不对应，致使实际应用效果较差。针对此普遍存在的现状，研发出一套蚂蚁体断层快速识别的技术系列：首先，根据地质目标，优化蚂蚁属性的终止标准值，应用蚂蚁细线体的信息素二值化技术使蚂蚁体聚焦和收敛；然后，通过断层自动分离对断面的尺度与偏角等参数进行分析，有效定义生成断面的规则及断面间的关系；最终，利用三维可视化平面-立体联立解释技术，直观判断出研究区断裂系统空间分布的合理性，进行断面细化编辑与调整，自动按所需间隔提取断棱数据，从而实现断层的自动追踪解释。通过应用此技术系列，在研究区断裂系统识别，尤其是大尺度断层快速自动追踪方面取得了很好的效果，快速、准确地建立起了研究区断层解释格架。应用蚂蚁属性进行断层识别是一套技术系列，利用典型剖面进行试验、优化计算参数是关键，遵循这一思路计算出的全区蚂蚁属性，才能获得良好的断层识别效果。
|
| 关 键 词： | 蚂蚁体 相干 方差 终止标准 蚂蚁细线体 断层识别 |
| 收稿时间： | 2019-03-11 |
Fault identification technology of ant attribute optimization |
| |
| LI Hongwei, BAI Xuelian, CUI Jingbin, WAN Zhonghong, YUAN Shihong, CHU Wanchang. Fault identification technology of ant attribute optimization[J]. COAL GEOLOGY & EXPLORATION, 2019, 47(6): 174-179. DOI: 10.3969/j.issn.1001-1986.2019.06.026 |
| |
| Authors: | LI Hongwei BAI Xuelian CUI Jingbin WAN Zhonghong YUAN Shihong CHU Wanchang |
| |
| Affiliation: | 1.Research & Development Center of BGP, CNPC, Zhuozhou 072750, China |
| |
| Abstract: | In the field of seismic geological exploration, the ant attributes is more and more widely used for rapid identification of fault system, and in the process of practical application, ant attributes based on 3D seismic data extraction are displayed either along strata slice(plan) or in section, the features of fault system and distribution characteristics of seismic events is not corresponding to the actual situation, the application effect is poorer, fault interpretation work is given priority to with manual interpretation backbone profile, unable to realize fault automatic tracking. In view of this widespread situation, this paper studies and analyzes the actual data and finds that simply extracting the attribute of ant body for fault interpretation cannot ensure the accuracy of fault identification. Therefore, a set of techniques for rapid fault identification of ant body was developed. First of all, according to the geological target optimization of ant attribute of termination criteria, application of the thin ant body of binarization technology makes the ant pheromone focus and converge, and then the fault surface and angle were analyzed by automatic fault separation, the rule of fault surface and the relationship between fault surfaces were effectively generated and defined, the final use of 3D visualization plane-solid simultaneous interpretation technology determined directly the rationality of the spatial distribution of fault system in the study area, sections were carefully edited and adjusted refiningly, fault edge was extracted automatically according to the needed intervals, so as to realize the automatic tracking of fault interpretation. Through the application of this series of techniques, good results have been achieved in the identification of fault systems in the study area, especially in the rapid automatic tracking of large-scale faults, and the framework for fault interpretation in the study area has been quickly and accurately established. The application of ant attributes to fault identification is a series of techniques. It is the key to test and optimize the calculation parameters using typical profiles. In order to obtain effective fault recognition results, the ant attributes in the whole area were calculated in accordance with this idea. |
| |
| Keywords: | ant body coherence variance termination criteria thin ant body fault identification |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《煤田地质与勘探》浏览原始摘要信息 |
|
点击此处可从《煤田地质与勘探》下载全文 |
|
