天然气地球物理勘探

地震信息多参数综合分析与岩性油气藏勘探――以JH盆地XN地区为例

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  • 1.中国地质大学能源系,北京 100083;2.中国石油勘探开发研究院西北分院,甘肃 兰州 730020
杨占龙(1970-),男,甘肃宁县人,高级工程师,在职博士生,主要从事盆地分析与岩性油气藏勘探研究.

收稿日期: 2004-06-11

  修回日期: 2004-09-14

  网络出版日期: 2004-12-20

MULTI-PARAMETERS OF SEISMIC AND SUBTLE RESERVOIR EXPLORATION——TAKE THE XN REGION OF JH BASIN AS AN EXAMPLE

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  • 1.Energy Department, China University of Geosciences, Beijing 100083, China; 2.Northwest Branch of  ResearchInstitute of Petroleum Exploration and Development, PetroChina, Lanzhou 730020, China

Received date: 2004-06-11

  Revised date: 2004-09-14

  Online published: 2004-12-20

摘要

在沉积微相和层序地层研究基础上的地震信息多参数综合评价方法是目前进行岩性圈闭识别、优选与评价的有效方法之一。以层序为边界建立等时地层格架是地震信息多参数综合分析的基础。地震信息多参数综合分析包括如下实际工作内容:通过测井标定并与已知目标类比使小时窗的地震相分类快速逼近有利勘探目标;通过波阻抗反演和测井参数反演综合确定目标体的储集体类型;通过地震属性分析一方面验证储层预测的可靠性,另一方面初步预测目标的含油气性;通过流体势分析宏观评价目标所处的流体势位置;通过地震信息分解基础上的含油气检测判别目标的流体性质;通过三维可视化明确目标体在空间的分布位置和范围,协助确定钻井位置和钻井轨迹。以JH盆地XN地区为例,系统探索了在地质综合研究基础上的地震信息多参数综合评价方法在岩性圈闭识别、优选与评价方面的应用,初步证实了该方法的针对性、实用性和有效性。

本文引用格式

杨占龙,郭精义, 陈启林, 黄云锋 . 地震信息多参数综合分析与岩性油气藏勘探――以JH盆地XN地区为例[J]. 天然气地球科学, 2004 , 15(6) : 628 -632 . DOI: 10.11764/j.issn.1672-1926.2004.06.628

Abstract

Based on  comprehensive study of micro-facies and stratigraphy sequence, the integrated analysis of seismic multi-parameters is an effective method for subtle-trap identification, comparison and evaluation at present time. Building an iso-time model with the boundary of sequence is the foundation of this method. Multi-parameters of seismic include the following contents, seismic-facies classification in little time-window within the boundary of stratigraphy sequence may  quickly approach to favorable oil-gas target. The seismic-facies should be identified with well-log and comparison with pre-known target. Using impedance and   well-log parameters inversion may ascertain the reservoir type of target. The analysis of seismic attributes may validate the reliability of reservoir inversion,  on the other hand, they may forecast the possibility of oil-gas in reservoir. Potential energy trend analysis of fluid may demonstrate in large scale how about   the target position. Oil-gas detection based on seismic information decomposition may distinguish which type of fluid is permeated in the target. Using 3D  visualization may straightly understand where the target is and how about the range of reservoir, which may additional help the researcher to choose the position  and track of will-be-drilled well. In this paper, the authors take the XN region of JH Basin as an example to show how the multi-parameters analysis of seismic  to work in subtle-trap identification, comparison and evaluation. The fact shows that method is an effective and practical way in subtle reservoir exploration.

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