红河油田水平井已经实现了规模开发,但存在部分井投产后产水率较高,同一井区不同井产能差异较大的问题.受井下环境的限制,测井资料项目录取比较单一,一般只测常规声波、双感应系列,使得应用测井资料对水平井进行地质参数评价存在一定的困难.如何有效利用现有测井资料提前判断可能产水层位、进而规避射开高含水部位,预测高产层段是测井评价工作的重点.本文在研究该区域储层基本特性的基础上,以测井资料为依托,从孔隙结构及成藏动力学的角度出发,对储层出水原因及产能的预测进行分析探讨,通过实际应用取得了很好的效果,为今后水平井投产层段的优选及产能的预测提供了参考.

Whether the fracture develops or not has played an important role in capacity of carbonate reservoir.Crack is not only important reservoir space,but it also is a good flow channel and controls the dissolution pores(holes)of development.Reservoir which contains fracture has strong reservoir heterogeneity,complex lithology and reservoir space.Currently,it is found that gathering and production mainly depend on the fracture system for the carbonate reservoirs of natural gas.Therefore,it is particularly important to accurately identify cracks in carbonate reservoir.Meanwhile,it is an important way to improve the ability of cracks carbonate gas development by using low-cost conventional logging data.This paper takes one field as an example,it extracts sensitive parameters from imaging logging data,and sums up identification methods of the cracks through conventional logging data.Finally,it selects the typical well test data to achieve a comprehensive analysis on fractured reservoir,which proves that it is feasible to use conventional logging data to identify fractures.

In order to realize gas zone productivity evaluation of lower permeability gas field with mud logging while drilling,based on the original evaluation methods,mud logging expert interpretation system was developed.Seen from the initial applied effects,the system made up for the deficiency that single parameter or two-parameter intersection methods can not be used to well evaluate productivity.Through rationally selecting evaluation parameters,and with the genetic algorithms and neural network method,mud logging expert interpretation system was set up,which can come to more reasonable conclusions.The system verification indicated that the operation is easy and simple,coincidence rate is high,and can meet the needs of on-site rapidly evaluating productivity.

The most important step for oil and gas field is to predict reservoir productivity, i.e. to predict the productivity of oil and gas reservoir under the same production test condition in accordance with data including porosity, permeability and formation pressure, etc. Logging data has advantages of continuity, accuracy and rapidity in reservoir prediction especially playing a key role in suggestion for layer selection and finding production rapidly, so the prediction method of productivity is described through research on the correlation between gas reservoir productivity and logging parameters. The method establishes a direct relationship with productivity by using logging data instead of achievement data of interpretation, which avoids various errors in data interpretation. It is shown that this method has good effect on productivity prediction by using logging material after evaluating and analyzing the actual well data.

鄂尔多斯大牛地气田测井资料的采集由多种系列的测井仪器完成,不同仪器所采集的资料存在一定的系统偏差.为了使测井资料具有统一的评价标准,增强各井资料的可比性以及地质参数计算值的准确性,有必要对测井资料进行标准化处理.文中介绍了大牛地气田标准化处理的方法-标志层法和统计关系法对常规测井中补偿密度、补偿声波、中子孔隙度曲线的处理方法和步骤,并对两种方法进行了比较分析.最后得出了在有标志层时首选标志层法,无标志层时用统计关系法的结论.

Due to the complexity of the lithology of metamorphite buried hill, there was not considerable discrepancy for many kinds of rock at 2.5 m gradient resistivity and SP cusves, thus making cutting logging data classification and interpretation often produced errors. Through studying data from drill-coring, chemical examination and analysis, oil testing and putting into production etc., and making use of 3700!series well logging data, the paper set up a set of method for identifying metamorphite buried hill lithology, combining its identifying results with geo-logging data could overcome the weaknesses of geo-logging data in the low resolution and poor continuity and the problem easily affected by human factors, thus enhancing the accuracy of cutting logging profile from the metamorphite buried hill.