薄层测井评价方法研究
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摘要
薄层储层的评价一直是油田勘探开发的一个难题,由于薄层的测井响应受围岩的影响很大,常规测井无法有效识别薄储层以及准确计算薄层的地质参数,进而在储层的评价和解释中遇到很大的困难。
本文首先以岩心实验结果为依据,对研究区薄层的测井响应特征和机理进行了分析,指出多种地质因素影响着储层的测井响应特征,而层厚是影响测井响应最主要的因素,且碳酸岩含量对三孔隙度测井的影响很大。
利用岩心实验分析资料,结合测井资料,首先对电阻率测井曲线进行了岩性的校正和层厚校正;利用岩心分析泥质含量,研究了自然伽马和自然电位的层厚校正方法,并建立了层厚校正模型;在有效计算储层碳酸岩含量和混合骨架参数值的基础上,研究了针对碳酸岩含量对测井曲线的影响进行校正的方法,进而提出了一套对三孔隙度测井曲线的薄层层厚影响的校正模型。通过层厚校正前后的测井数据来评价孔隙度、渗透率以及含油水饱和度等地质参数,并进行束缚水饱和度、粒度中值和泥质含量等各种解释参数的定量计算。
以储层的四性关系特征为基础,综合利用多种判别方法,包括各种可以反映储层物性和流体特性的交会图,来综合判别薄层的流体性质,通过声波时差-电阻率交会图以及含水饱和度-孔隙度交会图的效果来看,经过层厚校正后的测井数据,其流体判别的精度有明显的特高。
最后具体论述了测井新方法新技术在识别和评价薄层方面的应用,并重点介绍了核磁共振测井、高分辨率阵列感应测井以及成像测井的应用效果。
实际应用效果表明,取得了较明显的地质效果和较高的测井解释符合率,对其他油区的薄层测井解释具有重要的指导意义和推广应用价值。
For a long period of times, the evaluation of thin-bed is always a difficult problem for exploration, for the influence of wall rock, conventional logging has difficulties to identify the thin-bed and calculate the interpretation parameter of thin bed effectively, and we may encounter many difficulties in evaluation of reservoir.
So supported by well core experimentation, the paper analyzed the logging response feature and mechanism of thin bed, and point out that many factors can affect the logging response of the reservoir, the main factor which mostly influence the logging response is the thickness of thin layer, and the content of carbonite have a great influence on the response of 3-porosity logging.
we make use of core experimentation, combined with logging material, firstly the paper do the lithology correction and thinckness correction for resistivity curves, and based on the content of mud that derived from the core experimentation, the paper present the thickness correction model of gamma-ray logging and self-potential logging, and choose the appropriate ways to compute the carbonate content and using the value of mixed frame in order to correct the influence from the carbonite, based on this, the paper gives a effective methods to correct the thickness influence for 3-porosity logging. Comparing the data which before the correction and after the correction, we can estimate the actual correction effection of the porosity, permeability and saturation of water, and calculate many important interpretation parameters such as saturation of bound water, mid-value of granularity and content of mud.
Based on the study of four feature relationship characteristic, comprehensive utilization of many methods, mainly including the all kinds of cross-plot which can reflect the properties of matter and characteristic of liquid , in order to identify the property of liquid. Comparing the recognition result of the AC-RT cross-plot and the saturation of water-porosity cross-plot, we can found the accuracy of liquid identification have a noticeable improvement for the data after the thickness correction.
Finally the paper discussed the application of new logging technologies in thin bed evaluation and identifying, and mainly elaborated the actual effection of nuclear magnetic resonance logging, high resolution array induction logging and imaging logging.
the actual application indicated that the methods we used in the paper have a very good effects in geology and high percentage of interpretation that meet the truth, the methods we used can give a guidance in thin bed identify and interpretation for other oilfield, have a special significance and practical value.
本文首先以岩心实验结果为依据,对研究区薄层的测井响应特征和机理进行了分析,指出多种地质因素影响着储层的测井响应特征,而层厚是影响测井响应最主要的因素,且碳酸岩含量对三孔隙度测井的影响很大。
利用岩心实验分析资料,结合测井资料,首先对电阻率测井曲线进行了岩性的校正和层厚校正;利用岩心分析泥质含量,研究了自然伽马和自然电位的层厚校正方法,并建立了层厚校正模型;在有效计算储层碳酸岩含量和混合骨架参数值的基础上,研究了针对碳酸岩含量对测井曲线的影响进行校正的方法,进而提出了一套对三孔隙度测井曲线的薄层层厚影响的校正模型。通过层厚校正前后的测井数据来评价孔隙度、渗透率以及含油水饱和度等地质参数,并进行束缚水饱和度、粒度中值和泥质含量等各种解释参数的定量计算。
以储层的四性关系特征为基础,综合利用多种判别方法,包括各种可以反映储层物性和流体特性的交会图,来综合判别薄层的流体性质,通过声波时差-电阻率交会图以及含水饱和度-孔隙度交会图的效果来看,经过层厚校正后的测井数据,其流体判别的精度有明显的特高。
最后具体论述了测井新方法新技术在识别和评价薄层方面的应用,并重点介绍了核磁共振测井、高分辨率阵列感应测井以及成像测井的应用效果。
实际应用效果表明,取得了较明显的地质效果和较高的测井解释符合率,对其他油区的薄层测井解释具有重要的指导意义和推广应用价值。
For a long period of times, the evaluation of thin-bed is always a difficult problem for exploration, for the influence of wall rock, conventional logging has difficulties to identify the thin-bed and calculate the interpretation parameter of thin bed effectively, and we may encounter many difficulties in evaluation of reservoir.
So supported by well core experimentation, the paper analyzed the logging response feature and mechanism of thin bed, and point out that many factors can affect the logging response of the reservoir, the main factor which mostly influence the logging response is the thickness of thin layer, and the content of carbonite have a great influence on the response of 3-porosity logging.
we make use of core experimentation, combined with logging material, firstly the paper do the lithology correction and thinckness correction for resistivity curves, and based on the content of mud that derived from the core experimentation, the paper present the thickness correction model of gamma-ray logging and self-potential logging, and choose the appropriate ways to compute the carbonate content and using the value of mixed frame in order to correct the influence from the carbonite, based on this, the paper gives a effective methods to correct the thickness influence for 3-porosity logging. Comparing the data which before the correction and after the correction, we can estimate the actual correction effection of the porosity, permeability and saturation of water, and calculate many important interpretation parameters such as saturation of bound water, mid-value of granularity and content of mud.
Based on the study of four feature relationship characteristic, comprehensive utilization of many methods, mainly including the all kinds of cross-plot which can reflect the properties of matter and characteristic of liquid , in order to identify the property of liquid. Comparing the recognition result of the AC-RT cross-plot and the saturation of water-porosity cross-plot, we can found the accuracy of liquid identification have a noticeable improvement for the data after the thickness correction.
Finally the paper discussed the application of new logging technologies in thin bed evaluation and identifying, and mainly elaborated the actual effection of nuclear magnetic resonance logging, high resolution array induction logging and imaging logging.
the actual application indicated that the methods we used in the paper have a very good effects in geology and high percentage of interpretation that meet the truth, the methods we used can give a guidance in thin bed identify and interpretation for other oilfield, have a special significance and practical value.
引文
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[8] Q.R.Passey等著,柴春艳译.一种系统评价薄油气层的方法[J].测井与射孔,2006,(3):1~5.
[9]李辉,李伟忠,张建林等.正理庄油田地电阻率油层机理及识别方法研究.测井技术,2006,30(1):76~79.
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