深层富钾卤水的地球物理探测技术及应用——以江陵凹陷为例.pdf

2014年10月
矿床地质
第33卷第5期
October, 2014
-MINERAL DEPOSITS
33(5):1101~1107
文章编号:0258-7106(2014)05-1101.07
深层富钾鹵水的地球物理探测技术及应用
一以江陵凹陷为例
黄华12,刘成林3,张士万与,徐海明3,叶建中4,王春连3,彭伟,文辉1
(1中国石油化工股份有限公司江汉油田分公司勘探开发研究院,湖北武汉430223:2中国地质大学资源学院
北武汉430074:3中国地质科学院矿产资源研究所国土资源部成矿作用与资源评价重点实验室,北京10007
4江汉油田荆州采油厂,湖北荆州434020)
摘要上世纪在江陵凹陷的石油钻孔中发现了深层富钾卤水矿层,但是卤水矿层的空间展布一直不清。借
用油气勘探领域中地球物理储层预测方法和理论,利用钻孔对矿层的垂向高分辨率的识别,标定到三维地震剖面
上,利用多种地震属性横向高分辮率识别卤水矿层,预测矿层的空间分布,为靶区钻孔的部署提供依据。文章利用
已经发现富钾卤水矿层的路9井的资料,开展模型正演,发现地震中振幅、频率、波形等属性可以较好地识别卤水矿
层:将路9井的卤水矿层标定到地震剖面上,通过提取地震属性,识别出的高钾卤水矿层平面面积达5.53km2;在该
富钾卤水区中部署的岗钾1井,钻探获得高产富钾卤水矿层,验证了地球物理探测深层富钾卤水方法的正确性。
关键词地球物理:预测技术;深层富钾卤水;江陵凹陷
中图分类号:P631:P619.211
文献标志码:A
Application of geophysical detection method to exploration of deep potassium-
rich brine formation: A case study of Jiangling Depression
HUANG Hua: 2, LIU Chenglin, ZHANG Shiwan XU Haimin, YE Jianzhong, WANG Chunlian
PENG Weil and WEN Hu
(1 Research Institute of Exploration and Development of Jianghan Oilfield Branch Company of SINOPEC, Wuhan 430223, Hubei
China; 2 Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, Hubei, China; 3 MLR Key Laboratory
of Metallogeny and Mineral Assessment, Institute of Mineral R urces, hinese Academy of Goological Sciences, Beijing 100037
China; 4 Jingzhou Production Plant of J ianghan ilfield Branch Company of SINOPEC, Jingzhou 434020, Hubei, China
Abstract
Large quantities of deep potassium-rich brine seams were found in the petroleum drill holes in the Jianglin
Depression in the last century; nevertheless, spatial distribution of the brine deposits remain unknown. On the
basis of geophysical methods and theories used in reservoir prediction of hydrocarbon exploration, spatial distri
bution of the brine deposits can be predicted by identifying brine seams utilizing high lateral resolution of multi
ple seismic attributes which have been calibrated in 3-D seismic profile by diagnosing high vertical resolution of
the brine deposits using drilling holes, so as to provide the basis for drilling brine wells in the target area. Using
data from Well Lu-9 in which potassium-rich brine seams had been found, the authors performed forward model
ing in this study. It is shown that the brine seams can be identified utilizing such seismic attributes as amplitude
本文得到国家“863”计划项目课题(2012A061701)、国家973计划项目课题(20110B403007)、地质调查项目(121201001808)及锦辉集
团科技项目的联合资助
第一作者简介黄华,男,1982年生,高级工程师,从事矿产资源地质勘探与开发研究。 Email:876813589@q,com
收稿日期2014-0510;改回日期2014-8-20。张錡玲编辑。