模糊数学在岩溶储层地热资源勘探风险评价中的应用——以重庆山地型岩溶热储为例
Application of fuzzy mathematics in risk evaluation in geothermal resources exploration in karst reservoir: A case in mountain type karst thermal storage in Chongqing
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摘要: 重庆市岩溶储层地热资源丰富,开发利用历史悠久,但地热资源勘探风险较大。本文利用模糊综合评价法建立了风险评价模型,该模型中包含了热储构造开启程度、热储构造部位、沟谷切割程度、物探效果、热储埋深、热储厚度、热储岩层倾角、热异常情况、热储层位9个风险因子,每个因子划分为风险小、风险中等、风险大3级,并对其进行量化处理。最后对全市23个高隆起背斜两翼46个相对独立的山地型高隆起岩溶地热田共79个地热单元进行了地热资源勘探风险模糊数学综合评判。结果表明,有18个单元为风险小,42个单元为风险中等,19个单元为风险大。风险小的地热田一般热储汇水面积较大、补给径流循环条件好、热储顶板埋深1 000~1 800 m、热储厚度≥300 m、热储岩层倾角25~40°、深部裂隙较发育;风险大的地热田热储汇水面积较小、补给径流循环条件差、热储顶板埋深≥2 500 m、热储厚度<200 m、热储岩倾角<20°或≥40°、深部裂隙不发育;风险中等地热田的地质特征则介于二者之间。评价结果较好地反映出了重庆市岩溶热储地热资源勘探风险状况。Abstract: Geothermal resources of karst reservoir are rich in Chongqing, belonging to the mountain type. The karst thermal reservoir, stripped in shape and distributing independently in the thermal field, is located in both wings beside 23 high uplift anticlines and 1-2 km from the axis of the anticlines in the city. The geothermal resources exploration has a long history, but there are risks. In this study, in order to quantitatively or semi-quantitatively evaluate the risk of the exploration a risk assessment model is established with the fuzzy comprehensive evaluation method. The model contains 9 risk factors: the opening degree of thermal reservoir structure, thermal storage structure, alley cutting degree, geophysical prospecting effect, buried depth, thickness of geothermal reservoir, thermal reservoir strata dip angle, thermal anomalies and thermal reservoir layer. Each risk factor can be divided into three levels, including small, medium and big risk level. Quantitative processing is carried out for this model. Comprehensive evaluation of geothermal resource exploration risk with fuzzy mathematics on 23 high uplift anticlines, 46 high mountain uplift karst geothermal fields (a relatively independent geothermal field on each legs) and 79 geothermal units in this city was performed. The evaluation results indicate that there are 18 units in small risk, 42 units in medium risk and 19 units in high risk. The geothermal field with small risk generally has large heat reservoir catchment’s area and good recharge runoff circulation conditions, with roof heat reservoir being buried 1 000-1 800 m deep, thermal reservoir thickness bigger than 300 m, thermal reservoir strata dip angle being 25-40°, and deep fissure developed, such as the evaluation unit of Xishan anticline at the northern section of the west wing. The geothermal field with high risk has smaller catchment’s area and poor recharge runoff circulation conditions, with roof heat reservoir being buried more than 2 500 m deep, thermal reservoir thickness smaller than 200 m, thermal reservoir strata dip angle <20° or ≥40°, and deep fissure undeveloped, such as the evaluation unit at the southern section of the Xindianzi anticline. The geological characteristic of geothermal field with medium risk is between the two. The evaluation results have nicely reflected the risk state in exploration for the geothermal resources in the karst heat reservoir in Chongqing.
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Key words:
- fuzzy math /
- geothermal resources /
- karst reservoir /
- evaluation on exploration risk
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[1] 曾云松,周神波,程群,等.重庆市都市经济圈地热水资源可再生性研究[R].重庆市地矿局南江水文地质队,2010. [2] 董超,甘朝辉,肖友发.王家庄地热成因及地热资源评价[J].安全与环境工程,2012,19(1):43-47. [3] 杨华云,王治祥,周神波,等.重庆市四大温泉组团地热水资源开采潜力调查报告[R].重庆南江水文地质工程地质队,2008. [4] 杨华林,刘邦显,程群,等.重庆——中国温泉之都地热资源研究报告[R].重庆市地矿局南江水文地质队,2010. [5] 葛文彬,刘俊贤,李廷强,等.四川岩溶地下水深循环研究[R].四川省地质调查院,2002. [6] 杨纶标,高英仪.模糊数学原理及应用[M].广州:华南理工大学出版社,2006. [7] 杨华林,陈高武,刘邦显,等.重庆市地热资源勘查风险决策方法研究[R].重庆南江水文地质工程地质队,2010. [8] 祁福利,李永利,张烽龙,等.黑龙江省大庆市黑鱼湖地区地热资源评价[J].水文地质工程地质,2012,39(3):139-142. [9] 杨建平,杜端甫.项目风险的一种模糊分析方法[J].北京航空航天大学学报,1998,24(1):71-74. [10] 马毅,王希良,刘振.隧道岩溶突水危险性模糊多模型组合评价研究[J].国防交通工程与技术,2011,(5):38-42.
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