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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
引用本文:黄华,刘成林,张士万,徐海明,叶建中,王春连,彭伟,文辉.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[J].矿床地质,2014,33(5):1101-1107.
作者姓名:黄华  刘成林  张士万  徐海明  叶建中  王春连  彭伟  文辉
作者单位: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;中国地质大学资源学院,湖北武汉430074
2. 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,北京,100037
3. 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
4. 江汉油田荆州采油厂,湖北荆州,434020
基金项目:本文得到国家“863”计划项目课题(2012AA061701)、国家973计划项目课题(2011CB403007)、地质调查项目(1212010011808)及锦辉集团科技项目的联合资助
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辨率识别卤水矿层,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,识别出的富钾卤水矿层平面面积达5.53 km2;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
收稿时间:2014/5/10 0:00:00
修稿时间:2014/8/20 0:00:00

Application of geophysical detection method to exploration of deep potassium- rich brine formation: A case study of Jiangling Depression
HUANG Hu,LIU ChengLin,ZHANG ShiWan,XU HaiMing,YE JianZhong,WANG ChunLian,PENG Wei and WEN Hui.Application of geophysical detection method to exploration of deep potassium- rich brine formation: A case study of Jiangling Depression[J].Mineral Deposits,2014,33(5):1101-1107.
Authors:HUANG Hu  LIU ChengLin  ZHANG ShiWan  XU HaiMing  YE JianZhong  WANG ChunLian  PENG Wei and WEN Hui
Institution:Research Institute of Exploration and Development of Jianghan Oilfield Branch Company of SINOPEC, Wuhan 430223, Hubei, China;Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, Hubei, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;Research Institute of Exploration and Development of Jianghan Oilfield Branch Company of SINOPEC, Wuhan 430223, Hubei, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;Jingzhou Production Plant of Jianghan Oilfield Branch Company of SINOPEC, Jingzhou 434020, Hubei, China;MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China;Research Institute of Exploration and Development of Jianghan Oilfield Branch Company of SINOPEC, Wuhan 430223, Hubei, China;Research Institute of Exploration and Development of Jianghan Oilfield Branch Company of SINOPEC, Wuhan 430223, 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 distribution of the brine deposits can be predicted by identifying brine seams utilizing high lateral resolution of multiple 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 modeling in this study. It is shown that the brine seams can be identified utilizing such seismic attributes as amplitude, frequency, and wave pattern, that through calibrating the brine seams of Well Lu-9 in a seismic profile, the identified brine seams exhibit an planar area of 5.53 km2 based on extraction of seismic attributes, and that the geophysical method could be correctly verified for investigation of deep potassium-rich brines by encountering productive potassium -rich brine seams in Well Gangjia-1 which was drilled in the middle part of an identified potassium-rich brine area.
Keywords:geophysics  forecasting techniques  deep potassium-rich brine  Jiangling Depression
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