With the development of exploration and development, thin reservoir prediction is becoming more and more important. However, due to the limit of seismic resolution, thin reservoir prediction has always been an important challenge in the Middle East. Thin reservoir prediction based on conventional geophysical techniques is not accurate enough to meet the requirements of development. In order to improve the accuracy of thin reservoir prediction, a new thin reservoir prediction technique is proposed. This technical workflow main includes 4 steps: (1) Sedimentary facies identification based on multidisciplinary analysis, (2) Sedimentary facies model and seismic forward modelling, (3) Seismic response characteristics analysis and seismic data conditioning under the guide of forward modelling, (4) Seismic meme inversion and thin reservoir prediction. The new drilled wells demonstrate the successful application of the techniques in the M field in the Middle East. The 5 layers of thin sandstones reservoir can be divided into two sets of high stand systems of sand and low stand systems of incised valley deposits. Geological model seismic forward modelling shows that the most sensitive seismic dominant frequency for effectively identifying the two groups of sandstone is 35Hz (Fig.1). Through the high resolution seismic processing, the main frequency of seismic data was optimized from 25Hz to 35Hz, which improves the recognition ability for the thin sand groups (Fig.2). Seismic facies analysis based on previous and new seismic data shows that different thin reservoir layer can be effectively identified by seismic facies. Under the constraints of seismic facies, the Seismic meme inversion can effectively predict the two sand groups (Fig.3). 51 km2 of thin reservoir favourable area was discovered and 16 wells were drilled with 91% success rate based on the new seismic inversion result in the southeast part of the oilfield. This technology can effectively integrate geological information and seismic conditioning techniques, and improve the accuracy of thin reservoir prediction results more reasonably, which can not only provide support for the exploration for thin reservoir but also efficient development. This technique is applicable not only to thin clastic reservoir but also to thin carbonate reservoir.

二十一世纪初,由于中国石油集团东方地球物理勘探有限责任公司(以下简称"东方物探")大力实施国际化发展战略,国际业务迅速扩大,国外主要竞争对手感觉到潜在威胁,在物探核心软件上采取了严格限售甚至禁售策略,希望以此来制约东方物探强劲的发展势头.为了打破技术封锁,在中国石油天然气集团有限公司(以下简称"中国石油")的支持下,2003年开始立项研发GeoEast软件,经过十多年的持续研发与完善,GeoEast处理解释应用系统由V1.0发展到V3.0,有效应对了从常规三维到宽方位三维、从叠后偏移到逆时偏移、从构造解释到综合解释等物探技术的飞速发展,具备了数万道、百TB的数据管理能力,可高效管理和调度数百节点的异构计算机集群,提供了传统的软件开发接口,可支持批处理、并行计算和交互操作等软件的研发,实现了处理解释数据的统一管理,支持处理解释一体化运行,基本满足了目前地震勘探的需求.

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.

多属性融合技术是近年来针对单一属性的局限性而发展起来的一项新技术.通过研究三维空间中多种地震属性体实时融合技术,提出了一种实现方案.采用八叉树结构有效进行数据的动态管理,基于Shader编程技术,利用GPU可编程管线加速,实现多属性体融合的三维可视化.基于该方案,研发了三维可视化多属性体融合系统,实现了基于RGB映射和属性加权的两种融合技术,保证了多属性体高质量实时融合渲染,通过实际应用取得了良好效果.

Summary: It is difficult to identify minor fault using conventional seismic section interpretation technique, but the seismic attributions analysis technique is a valid method to resolve the problem. Only using one seismic attribution can not comprehensive image the geologic information, but we can find the minor faults by using the multivariate seismic attributions analysis technique. By the application of the technique in the coal seismic survey, we interpret the minor fault with a fault throw within 2-3 meters, and result of the coal mining is shown the minor faults that we interpret by the technique is absolutely correct, so it is proved the technique is a valid method to interpret the minor fault.

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2009An initial depth‐velocity model building method based on the seamless block modelAuthors: Yu HaishengCui JingbinLiu ChaoyingYu HaishengBGP, CNPCSearch for more papers by this author, Cui JingbinBGP, CNPCSearch for more papers by this author, and Liu ChaoyingBGP, CNPCSearch for more papers by this authorhttps://doi.org/10.1190/1.3255466 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Three‐dimensional depth‐velocity modeling is a very important step in three‐dimensional pre‐stack depth migration. In the initial depth‐velocity model set up process, under constraints such as geology, well logging, seismics, etc., when the velocity‐depth pairs are available, what is left is to resolve the tectonically constrained velocity field interpolation issues. In this paper, a depth‐velocity field construction method based on a seamless three‐dimensional block model is described. The method is completed in two steps: first we set up a three‐dimensional geometrically and topologically consistent seamless block model, then we interpolate velocity‐depth data for the depth‐velocity model with three‐dimensional block model constraints. This paper first introduces a seamless block model building method, followed by a description of the velocity field interpolation method with constraints from the seamless block model, and finally gives an example.Permalink: https://doi.org/10.1190/1.3255466FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2009ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2009 Pages: 4338 publication data© 2009 Copyright © 2009 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 14 Oct 2009 CITATION INFORMATION Yu Haisheng, Cui Jingbin, and Liu Chaoying, (2009), "An initial depth‐velocity model building method based on the seamless block model," SEG Technical Program Expanded Abstracts : 2955-2959. https://doi.org/10.1190/1.3255466 Plain-Language Summary PDF DownloadLoading ...

In view of different requirements of 3-D model building, appearing various kinds of 3-D model-building software, the paper presented a TIN-pieces processing-based structural model-building technique that uses 3-D CAD design idea, and a variety of 3-D interactive tools to edit TIN-pieces and construct the layers and fault planes, finally build up a structural model conforming to the demands. This is an incremental flexible dynamic model-building approach, in which the user can make real-time modification in any stage of model building and utilize variable algorithms and 3-D interactive visualization tools in maximum. The key of approach is on strengthening the TIN-pieces processing and highlighting the advantage of 3-D interactive tool combining with algorithm, which makes the description of complex structures become easier, which other algorithms are difficult to describe.