黄河三角洲深层卤水资源可持续开发利用研究
发布时间:2018-01-06 05:38
本文关键词:黄河三角洲深层卤水资源可持续开发利用研究 出处:《济南大学》2014年硕士论文 论文类型:学位论文
更多相关文章: 深层卤水资源 资源评价 可持续开发利用 黄河三角洲
【摘要】:深层卤水资源水作为一种非可再生资源,同煤炭、石油、天然气一样若能实现合理开发利用必然会带动区域经济的发展,然而在实际开采利用中由于缺乏对卤水资源性认识、基础性研究探索不足及开采经验缺乏等原因,造成地下卤水资源的不合理开采、资源浪费、环境污染、生态恶化等现象,严重阻碍了资源、经济与社会的可持续发展。深层卤水资源由于处于深层高压封闭环境,地质勘探投入及开采技术水平有限,对于深层卤水的赋存条件、成因类型、分布范围及埋藏规律的分析和研究十分有限,,成为深层卤水合理开发利用的重要制约因素。 黄河三角洲深层卤水资源储量600多亿m3,其中含有的高浓度的NaCl以及丰富的I、Br、Li微量元素,其含量均达到单独开采品位,具有较高的经济价值。此外,研究区深层卤水资源的杂质含量低、纯度高对于原盐的提取要求低,具有极大的开采优势。前期石油开采对研究区地质条件、构造特征及地层岩性的勘探极大的丰富了研究区所需的资料数据,为黄河三角洲地区深层卤水资源的开发利用研究提供数据支持。 本文以建立黄河三角洲地区深层卤水资源可持续开发利用模型,探索可持续开发利用方案为研究目标,分析黄河三角洲地区地层岩性、构造特征以及沉积特征、分布范围和埋藏规律,查明深层卤水资源的赋存条件、卤水成因及分布范围与埋藏规律,并在此基础上进行深层卤水资源评价,评价包括水量评价和水质评价。以实现高效、高值为目标构建黄河三角洲深层卤水资源可持续开发利用决策模型,为研究区深层卤水资源科学开采、高效利用提供理论依据。 主要研究内容包括: 1.依据黄河三角洲地区地层岩性、地质构造特征、沉积特性以及卤水埋藏分布条件进行卤水岩层的划分,圈定卤水矿体分布范围,研究和分析了卤水赋存特征及水化学特征,通过前人讲究资料、地质勘探与测井数据获取相关参数,为下一步卤水资源储量计算及可开采资源量分析提供了充足数据。 2.对黄河三角洲深层卤水资源进行资源评价,主要包括水量评价和水质评价。水量评价分别利用有限单元法与容积法基本原理结合Feflow软件与surfer软件通过建立空间模型进行计算与预测,水质评价则是针对卤水中原盐与微量元素储量分析计算。评价结果显示:黄河三角洲深层卤水资源总储量可达640.21亿m3,可开采资源量为9.63亿m3,深层卤水资源的杂质含量低、纯度高对于原盐的提取要求低,具有极大的开采优势。 3.通过资源评价,根据卤水资源可持续开发利用目标,构建研究区深层卤水可持续开发利用的多目标决策模型,该模型包括最优化开采布井、最低卤水开发成本、最大程度的卤水综合利用、最有效实现环境保护与生态系统稳定等目标决策。并根据深层卤水资源开采试验及相关参考文献建立研究区深层卤水资源可持续开发利用方案。
[Abstract]:Deep brine water resources as a non renewable resources, with coal, petroleum, natural gas as if can realize the reasonable development and utilization will inevitably promote the development of regional economy, however, in the actual exploitation and utilization due to the lack of awareness of brine resources, explore the basic research and exploitation of lack of experience and other reasons, resulting in underground brine resources unreasonable exploitation, waste of resources, environmental pollution, ecological deterioration, has seriously hindered the resources, economic and social sustainable development. Deep brine resources due to the deep high pressure closed environment, geological exploration and mining investment limited, the occurrence conditions, deep brine formation, analysis and Research on the distribution and burial patterns is very limited, become the important factor to restrict the reasonable exploitation of deep brine.
The Yellow River delta deep brine resources reserves of about 60000000000 m3, which contains a high concentration of NaCl and rich I, Br, Li and trace elements, the content reached separate mining grade, with high economic value. In addition, the impurity content resources deep brine in the study area is low, high purity for salt extraction with low. The great advantage of mining. Early oil exploitation of the geological conditions of the study area, tectonic characteristics and stratigraphic lithologic exploration greatly enriches the data for the study area, to provide data support for the development and utilization of deep brine resources in the Yellow River Delta.
In order to establish the model of sustainable development and utilization of deep brine resources in the Yellow River Delta, to explore the scheme of sustainable development and utilization as the research object, analysis of formation lithology in the Yellow River Delta area, tectonic features and sedimentary characteristics, the distribution range and burial patterns, find out the occurrence conditions of deep brine water resources, cause and distribution of brine and burial patterns, and then on the basis of deep brine resources evaluation, evaluation and evaluation including water quality assessment. In order to achieve efficient, high value to build a sustainable development of deep brine resources in the Yellow River Delta using decision model for scientific research area of mining deep brine resources, efficient use and provide a theoretical basis.
The main research contents include:
1. on the basis of lithology in the Yellow River Delta area, geological features, sedimentary characteristics and the distribution conditions of brine brine buried rock, orebody delineation of brine distribution, research and analysis of the brine occurrence characteristics and chemical characteristics of water, pay attention to data by predecessors, obtain the relevant parameters of geological exploration and well logging data, the next step for brine resources the calculation of reserves and analysis of mining resources provide abundant data.
2. of the Yellow River delta deep brine resources including water resources evaluation, evaluation and quality evaluation. The basic principle of water were evaluated using the finite element method and volume method calculation and predicted by the space model is established with Feflow software and surfer software, water quality evaluation is for the Central Plains and the trace elements of salt brine reserves calculation and analysis of the evaluation results. Show: the total reserves of deep brine in the Yellow River delta is 64 billion 21 million m3, exploitation quantity is 963 million m3, the impurity content of deep brine resources is low, high purity for salt extraction is low, has great advantages of mining.
3. through the resource evaluation, according to the goal of sustainable development and utilization of brine resources, construct the multi-objective decision model of sustainable development and utilization of deep brine in the study area, the model includes the optimization of mining brine wells, the lowest cost of development, the comprehensive utilization of brine to the maximum extent, the effective implementation of environmental protection and ecosystem stability and establish sustainable goal decision. The development and utilization of resources of deep brine solutions based on deep brine resources exploitation test and related references.
【学位授予单位】:济南大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:P641.8
【参考文献】
相关期刊论文 前10条
1 周游;倪师军;施泽明;;深层卤水可采资源量评价的时间序列神经网络模型研究[J];国土资源科技管理;2012年03期
2 楼章华,朱蓉,金爱民,武恒志,郑和荣,王宁;东营凹陷地下水动力场的形成与演化[J];地质科学;2003年01期
3 陈中红;查明;刘太勋;;东营凹陷古近系古湖盆演化与水化学场响应[J];湖泊科学;2008年06期
4 李丽,袁存光;黄河三角洲盐卤资源综合利用研究[J];海湖盐与化工;2005年03期
5 张慧峰;王国强;姚颖;高书宝;蔡荣华;张雨山;;膜法提溴技术研究进展[J];盐业与化工;2009年03期
6 王永生;范洪达;尚崇伟;刘振;;混沌时间序列的神经网络预测研究[J];海军航空工程学院学报;2008年01期
7 韩有松,孟广兰,王少青;渤海莱州湾滨海平原晚第四纪地质事件与古环境[J];海洋科学集刊;1994年00期
8 尹新;周野;何怡刚;;基于混合算法优化神经网络的混沌时间序列预测[J];湖南大学学报(自然科学版);2010年06期
9 高世扬,夏树屏;盐卤硼酸盐化学研究进展[J];化学通报;1999年12期
10 王珍岩,孟广兰,王少青;渤海莱州湾南岸第四纪地下卤水演化的地球化学模拟[J];海洋地质与第四纪地质;2003年01期
本文编号:1386548
本文链接:https://www.wllwen.com/jingjilunwen/quyujingjilunwen/1386548.html