吉林油田松辽盆地南部区块预探井试油测试技术与研究
发布时间：2019-03-29 19:41
【摘要】：在石油及天然气勘探开发过程中,试井技术是油藏描述技术重要的组成部分,它是对钻井过程中遇到的油气显示做出准确评价、在油气田开发生产动态下获得油藏参数的重要手段。20世纪30年代发展起来的试井技术,经过不断的发展完善,已成为认识和评价油藏的重要手段。随着计算机的不断发展,现代试井理论和解释技术提出运用系统工程理论来解释处理试井资料,对压力曲线的早、中、晚三个阶段进行模型选择,特征判断,内边界分析,曲线拟合,无因次检验,曲线历史模拟检验等多项分析处理,从而确定油藏模型和渗流参数。在此基础上评价油藏产能、边界类型和性质、水动力特征、伤害程度和机理以及含油饱和度的动态特征,再由这些特征确定正确的完井方式以及措施方案,计算动态储量,这样使油藏动态评价变得越来越精确。本项研究主要针对吉林油田试井技术中存在的共性问题进行规范研究和综合评价,在对国内类似油田进行调研的基础上,以石油天然气行业标准为依据,以试井解释软件为工具,重点对困扰吉林油田试井技术难点进行攻关,研究出适用的试井解释方法,从而较好地规范现场测试及资料解释,为油气田开发和调整提供可靠基础参数。使吉林油田各采油厂做到从设备、工艺、解释、评价的规范运行,从而提高动态监测的质量和测试资料的利用率,满足油藏工程和地质研究工作的需要。在全面规范基础上展开研究,并针对典型油田进行重点综合评价,对解释方法和评价方法进行适用性评价研究,充分发挥试井技术的动态监测作用。本文针对油田试井测试解释中存在的“早期资料、水井、分层及起泵测试资料的解释及合理关井时间的确定”五大技术难题,研究开发出一套新方法,特别是重点解决了吉林油田常规水平井的试井解释的模型研究,为水平井的试井解释提供一套适用而有效的试井解释软件,对于低产、低渗井Swift试井解释软件具有更大优势。本文通过实例分析,认为解释方法及软件实用、可靠。
[Abstract]:In the process of oil and gas exploration and development, well testing technology is an important part of reservoir description technology, it is to accurately evaluate the oil and gas display encountered in the drilling process. The well testing technology developed in the 1930s has become an important means to recognize and evaluate the reservoir through the continuous development and perfection of the well testing technology under the development and production performance of oil and gas fields. The well testing technology developed in the 1930s has become an important means of understanding and evaluating the reservoir. With the continuous development of computer, modern well testing theory and interpretation technology put forward the application of system engineering theory to interpret and process well test data, and carry out model selection, feature judgment and internal boundary analysis in the early, middle and late stages of pressure curve. Through curve fitting, dimensionless test and curve history simulation test, the reservoir model and seepage parameters can be determined. On this basis, the reservoir productivity, boundary types and properties, hydrodynamic characteristics, damage degree and mechanism, and the dynamic characteristics of oil saturation are evaluated, and then the correct completion methods and measures are determined by these characteristics, and the dynamic reserves are calculated. In this way, reservoir performance evaluation becomes more and more accurate. This research mainly aims at the common problems existing in Jilin oilfield well testing technology to carry on the normative research and the comprehensive evaluation, on the basis of the investigation of the similar oil fields in our country, based on the petroleum and natural gas industry standard, With the software of well test interpretation as a tool, the difficulties of well testing in Jilin oilfield are emphatically solved, and the applicable well test interpretation method is studied, so as to standardize the field test and data interpretation better. It provides reliable basic parameters for the development and adjustment of oil and gas fields. In order to improve the quality of dynamic monitoring and the utilization of test data and meet the needs of reservoir engineering and geological research, the oil production plants in Jilin Oilfield should be operated from equipment, technology, interpretation and evaluation to the standard operation in order to improve the quality of dynamic monitoring and the utilization of test data. On the basis of comprehensive specification, this paper makes a comprehensive evaluation of typical oil fields, evaluates the applicability of interpretation method and evaluation method, and gives full play to the dynamic monitoring function of well testing technology. In view of the five technical problems existing in well testing and interpretation in oilfield, such as "interpretation of early data, interpretation of water well, stratification and pumping test data and determination of reasonable shut-in time", a new set of methods is studied and developed in this paper. In particular, the model study of well test interpretation of conventional horizontal wells in Jilin Oilfield is emphatically solved, and a set of applicable and effective software for well test interpretation of horizontal wells is provided, which has more advantages for low production and low permeability well Swift interpretation software. Through the analysis of an example, it is considered that the method of interpretation and the software are practical and reliable.
【学位授予单位】：西安石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE353
本文编号：2449823
[Abstract]:In the process of oil and gas exploration and development, well testing technology is an important part of reservoir description technology, it is to accurately evaluate the oil and gas display encountered in the drilling process. The well testing technology developed in the 1930s has become an important means to recognize and evaluate the reservoir through the continuous development and perfection of the well testing technology under the development and production performance of oil and gas fields. The well testing technology developed in the 1930s has become an important means of understanding and evaluating the reservoir. With the continuous development of computer, modern well testing theory and interpretation technology put forward the application of system engineering theory to interpret and process well test data, and carry out model selection, feature judgment and internal boundary analysis in the early, middle and late stages of pressure curve. Through curve fitting, dimensionless test and curve history simulation test, the reservoir model and seepage parameters can be determined. On this basis, the reservoir productivity, boundary types and properties, hydrodynamic characteristics, damage degree and mechanism, and the dynamic characteristics of oil saturation are evaluated, and then the correct completion methods and measures are determined by these characteristics, and the dynamic reserves are calculated. In this way, reservoir performance evaluation becomes more and more accurate. This research mainly aims at the common problems existing in Jilin oilfield well testing technology to carry on the normative research and the comprehensive evaluation, on the basis of the investigation of the similar oil fields in our country, based on the petroleum and natural gas industry standard, With the software of well test interpretation as a tool, the difficulties of well testing in Jilin oilfield are emphatically solved, and the applicable well test interpretation method is studied, so as to standardize the field test and data interpretation better. It provides reliable basic parameters for the development and adjustment of oil and gas fields. In order to improve the quality of dynamic monitoring and the utilization of test data and meet the needs of reservoir engineering and geological research, the oil production plants in Jilin Oilfield should be operated from equipment, technology, interpretation and evaluation to the standard operation in order to improve the quality of dynamic monitoring and the utilization of test data. On the basis of comprehensive specification, this paper makes a comprehensive evaluation of typical oil fields, evaluates the applicability of interpretation method and evaluation method, and gives full play to the dynamic monitoring function of well testing technology. In view of the five technical problems existing in well testing and interpretation in oilfield, such as "interpretation of early data, interpretation of water well, stratification and pumping test data and determination of reasonable shut-in time", a new set of methods is studied and developed in this paper. In particular, the model study of well test interpretation of conventional horizontal wells in Jilin Oilfield is emphatically solved, and a set of applicable and effective software for well test interpretation of horizontal wells is provided, which has more advantages for low production and low permeability well Swift interpretation software. Through the analysis of an example, it is considered that the method of interpretation and the software are practical and reliable.
【学位授予单位】：西安石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE353
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