混积型页岩油岩性复杂、矿物类型多、“甜点”横向变化快,常规测井对岩性、物性及含油性响应不敏感,而核磁测井需要岩石物理实验标定,解释周期长,尚缺乏有效的现场“甜点”快速评价技术。针对上述问题,以准噶尔盆地吉木萨尔凹陷芦草沟组页岩油储层为例,以核磁测井解释为依据,研究气测、碳酸盐矿物、钻时等录井资料对混积型页岩油岩性、物性和含油性的响应特征,明确内在联系,优选敏感参数,实现页岩油储层参数和“甜点”的快速评价。研究表明:混积型页岩油岩性、物性及含油饱和度在录井资料上均有明显响应,其中,碳酸盐含量和白云石占比能有效反映粉砂岩、云质粉砂岩、砂屑白云岩、泥晶白云岩和云质灰岩等主要岩性,碳酸盐含量、全烃/钻时对孔隙度反映敏感,碳酸盐含量、湿度比和全烃对含油饱和度敏感。基于录井敏感参数的孔隙度和含油饱和度解释模型,精度可达71.0%,与核磁测井相比,Ⅰ类油层“甜点”识别率超90%,能够实现随钻过程中页岩油“甜点”的快速准确评价。研究成果对提高混积型页岩油水平井“甜点”钻遇率及降本增效有指导意义。
The hybrid sedimentary shale oil is complex in lithology, with many mineral types and rapid lateral changes in the "sweet spot".The conventional logging is not sensitive to the lithology, physical properties and oil-bearing properties response, while the NMR logging requires petro-physical experimental calibration and long interpretation period, so there is a lack of effective on-site "sweet spot" rapid evaluation technology. To address the above problems, the shale oil reser-voir in the Lucaogou Formation of the Jimsar Sag of the Junggar Basin is taken as an example to study the response characteristics of gas logging, carbonate minerals, drilling time and other logs to the lithology, physical properties and oil-bearing properties of hybrid sedimentary shale oil based on the interpretation of NMR logging, so that the internal connection is clarified and sensi-tive parameters are selected to achieve the rapid evaluation of parameters and "sweet spots" of shale oil reservoir. The study shows that the lithology, physical properties and oil saturation of the hybrid sedimentary shale oil all have obvious responses on the logging data, among which, carbo-nate content and dolomite percentage can effectively reflect the main lithologies such as siltstone, dolomitic siltstone, psammitic dolomite, dolomicrite and dolomitic limestone, the carbonate con-tent and total hydrocarbon/drilling time are sensitive to the porosity, and the carbonate content, humidity ratio and total hydrocarbon are sensitive to the oil saturation. Based on the interpretation model of logging sensitive parameters such as porosity and oil saturation, the accuracy can reach 71.0%.Compared with the NMR logging, the identification rate of "sweet spot" of Class I oil formation is over 90%, thus achieving rapid and accurate evaluation of "sweet spot" of shale oil in the process of drilling. The results of the study are useful for improving the drilling catching rate of the "sweet spot" in horizontal wells of hybrid sedimentary shale oil and for reducing costs and increasing efficiency.
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