川东明月峡碳酸盐岩地层流体性质识别
发布时间：2018-12-12 09:17
【摘要】：明月峡构造位于四川盆地川东高陡构造带中部,目的层石炭系是川东地区的主力产层。由于近10年来勘探投资的转移,石炭系新增储量少,明月峡构造带作为5个低勘探程度的新构造带之一,是目前勘探的重点,对储层“四性”的认识,尤其是对地层含流体性质的准确识别与评价成为摆在测井地质工作者面前首要解决的问题。本文通过对工区典型井的地质、测井和岩心资料等的分析处理,重点开展了石炭系碳酸盐岩储层流体性质的测井识别方法研究。 地层流体性质解释符合率不高将增加区域钻井风险、影响后期增产对策研究。本文针对储层含流体性质识别,主要开展以下5个方面研究工作：①综合应用CRA法、M-N交会图和灰色关联分析法识别地层岩性；②碳酸盐岩储层空隙空间的测井特征研究及储层类型划分；③储层参数测井解释模型建立；④基于常规测井资料的储层含流体性质识别方法集成研究与气层识别图版的建立；⑤工区典型井测井多参数两向量判别分析法的气层识别。取得了以下研究成果和认识： (1)地层岩性识别是流体性质识别的基础,亦是储层含气性的主控因素之一。通过测井曲线自动取值分层,提取岩性特征参数,总结得到了地层中主要岩性的M、N值等测井特征参数变化规律。应用基于岩石体积物理模型的CRA法、M-N交会图和灰色关联分析法对工区岩性进行逐点和分层自动识别。研究认为M-N交会图和灰色关联分析法用于识别工区地层岩性效果较好。 (2)复杂的原生孔隙和次生孔隙组合使碳酸盐岩储集层类型复杂多样。基于碳酸盐岩空隙空间的测井特征研究,结合动静态资料分析,将工区碳酸盐岩储层划分为3类：孔隙型、裂缝-孔隙型和裂缝型,并合理地划分单井剖面上的石炭系储层。 (3)在系统认识工区岩性、物性及储层特征的基础上,以岩心分析数据为刻度依据,优选储层参数计算模型；根据工区石炭系孔隙度、渗透率下限和泥质含量上限对储层品质分级与统计分析,研究发现工区石炭系储层物性较好,孔隙以中小孔为主,三类储层厚度占储层总厚度近一半的比例,对产能有一定的影响。 (4)结合储层类型划分结果,充分利用已有试气结论对典型气层、差气层和水层段建立了适合明月峡构造地层流体性质识别图版(RT与RT/RXO、RT与POR、POR与Sw、 POR3与△R),能较明显的识别流体性质。提取高分辨率的特征参数(三孔隙度比值POR3、深浅电阻率差比值△R、岩性系数DTGR和地层水参数SRw),采用两向量判别分析法有效直观地识别地层含流体性质,并经测试、生产动态等资料验证,回判率高。 基于上述地层岩性识别、储层划分、储层参数计算和流体性质判别等关键问题研究,形成了工区裸眼井电缆测井(静态)识别碳酸盐岩石炭系储层流体性质的方法和技术,应用效果良好,为工区后期射孔、试气等作业提供了测井地质依据。
[Abstract]:The Mingyexia structure is located in the middle of the East Sichuan high and steep structural belt in Sichuan Basin, and the Carboniferous system is the main producing layer in the east Sichuan Basin. Because of the transfer of exploration investment in the last 10 years, the new reserves of Carboniferous system are few. As one of the five new structural zones with low exploration degree, the Mingyexia structural belt is the focus of exploration at present. In particular, the accurate identification and evaluation of fluid-bearing properties of formation has become the most important problem to be solved by logging geologists. Based on the analysis and processing of geological, logging and core data of typical wells in the working area, the logging identification method for the fluid properties of Carboniferous carbonate reservoirs is studied in this paper. The low coincidence rate of interpretation of formation fluid properties will increase the risk of regional drilling and affect the countermeasures of increasing production in the later stage. In this paper, the following five aspects of research work are mainly carried out in order to identify the fluid-bearing properties of reservoirs: (1) the comprehensive application of CRA method, M-N cross plot and grey correlation analysis method to identify the lithology of strata; (2) study on logging characteristics and classification of pore space in carbonate reservoir; (3) establishment of logging interpretation model for reservoir parameters; (4) integrated study on identification method of fluid bearing properties of reservoir based on conventional logging data and establishment of gas reservoir identification chart; 5. Gas reservoir identification based on multi-parameter two-vector discriminant analysis for typical well logging in the working area. The following research results and understandings have been obtained: (1) the recognition of stratigraphic lithology is the basis of fluid property identification and one of the main controlling factors of reservoir gas-bearing property. Through automatic stratification of logging curve, lithologic characteristic parameters are extracted, and the variation law of logging characteristic parameters such as Mon N value of main lithology in formation is summarized. CRA method based on rock volume physical model, M-N cross plot and grey relational analysis are used to identify lithology point by point and stratification automatically. It is considered that M-N cross plot and grey correlation analysis are effective in identifying stratigraphic lithology in the working area. (2) the complex combination of primary and secondary pores makes carbonate reservoir types complex and diverse. Based on the study of logging characteristics of carbonate pore space and the analysis of dynamic and static data, the carbonate reservoir in the working area is divided into three categories: pore type, fracture-pore type and fracture type, and the Carboniferous reservoirs in single well profile are reasonably divided. (3) based on the systematic understanding of the lithology, physical properties and reservoir characteristics, the reservoir parameter calculation model is selected on the basis of core analysis data. According to the classification and statistical analysis of Carboniferous porosity, lower permeability limit and upper limit of muddy content, it is found that the physical properties of Carboniferous reservoirs in the working area are good, and the pores are mainly mesoporous. Three types of reservoir thickness account for nearly half of the total reservoir thickness, which has a certain impact on productivity. (4) combined with the result of reservoir type classification, the typical gas reservoir, differential gas reservoir and water zone are used to identify the fluid properties of the typical gas reservoir, differential gas reservoir and water layer (RT and RT/RXO,RT and POR,POR and Sw,). POR3 and R), can clearly identify the fluid properties. High resolution characteristic parameters (three porosity ratio POR3, depth and shallow resistivity difference ratio R), lithology coefficient DTGR and formation water parameter SRw), are extracted to identify effectively and intuitively the fluid-bearing properties of formation by using two-vector discriminant analysis. Production dynamics and other data validation, high rate of award back. Based on the study of the above key problems such as stratigraphic lithology identification, reservoir division, reservoir parameter calculation and fluid property discrimination, a method and technique for identifying the fluid properties of carbonate Carboniferous reservoirs by cable logging (static) in open-hole wells in the working area have been formed. The application effect is good, which provides logging geological basis for perforation and gas test in the later stage of work area.
【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.13;P631.81
本文编号：2374321
[Abstract]:The Mingyexia structure is located in the middle of the East Sichuan high and steep structural belt in Sichuan Basin, and the Carboniferous system is the main producing layer in the east Sichuan Basin. Because of the transfer of exploration investment in the last 10 years, the new reserves of Carboniferous system are few. As one of the five new structural zones with low exploration degree, the Mingyexia structural belt is the focus of exploration at present. In particular, the accurate identification and evaluation of fluid-bearing properties of formation has become the most important problem to be solved by logging geologists. Based on the analysis and processing of geological, logging and core data of typical wells in the working area, the logging identification method for the fluid properties of Carboniferous carbonate reservoirs is studied in this paper. The low coincidence rate of interpretation of formation fluid properties will increase the risk of regional drilling and affect the countermeasures of increasing production in the later stage. In this paper, the following five aspects of research work are mainly carried out in order to identify the fluid-bearing properties of reservoirs: (1) the comprehensive application of CRA method, M-N cross plot and grey correlation analysis method to identify the lithology of strata; (2) study on logging characteristics and classification of pore space in carbonate reservoir; (3) establishment of logging interpretation model for reservoir parameters; (4) integrated study on identification method of fluid bearing properties of reservoir based on conventional logging data and establishment of gas reservoir identification chart; 5. Gas reservoir identification based on multi-parameter two-vector discriminant analysis for typical well logging in the working area. The following research results and understandings have been obtained: (1) the recognition of stratigraphic lithology is the basis of fluid property identification and one of the main controlling factors of reservoir gas-bearing property. Through automatic stratification of logging curve, lithologic characteristic parameters are extracted, and the variation law of logging characteristic parameters such as Mon N value of main lithology in formation is summarized. CRA method based on rock volume physical model, M-N cross plot and grey relational analysis are used to identify lithology point by point and stratification automatically. It is considered that M-N cross plot and grey correlation analysis are effective in identifying stratigraphic lithology in the working area. (2) the complex combination of primary and secondary pores makes carbonate reservoir types complex and diverse. Based on the study of logging characteristics of carbonate pore space and the analysis of dynamic and static data, the carbonate reservoir in the working area is divided into three categories: pore type, fracture-pore type and fracture type, and the Carboniferous reservoirs in single well profile are reasonably divided. (3) based on the systematic understanding of the lithology, physical properties and reservoir characteristics, the reservoir parameter calculation model is selected on the basis of core analysis data. According to the classification and statistical analysis of Carboniferous porosity, lower permeability limit and upper limit of muddy content, it is found that the physical properties of Carboniferous reservoirs in the working area are good, and the pores are mainly mesoporous. Three types of reservoir thickness account for nearly half of the total reservoir thickness, which has a certain impact on productivity. (4) combined with the result of reservoir type classification, the typical gas reservoir, differential gas reservoir and water zone are used to identify the fluid properties of the typical gas reservoir, differential gas reservoir and water layer (RT and RT/RXO,RT and POR,POR and Sw,). POR3 and R), can clearly identify the fluid properties. High resolution characteristic parameters (three porosity ratio POR3, depth and shallow resistivity difference ratio R), lithology coefficient DTGR and formation water parameter SRw), are extracted to identify effectively and intuitively the fluid-bearing properties of formation by using two-vector discriminant analysis. Production dynamics and other data validation, high rate of award back. Based on the study of the above key problems such as stratigraphic lithology identification, reservoir division, reservoir parameter calculation and fluid property discrimination, a method and technique for identifying the fluid properties of carbonate Carboniferous reservoirs by cable logging (static) in open-hole wells in the working area have been formed. The application effect is good, which provides logging geological basis for perforation and gas test in the later stage of work area.
【学位授予单位】：西南石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P618.13;P631.81
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