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Quantitative measurement on coal components through the interpretation model of geophysical log: A case study from the Qaidam Basin, NW China
Energy Exploration & Exploitation ( IF 1.9 ) Pub Date : 2021-06-02 , DOI: 10.1177/01445987211020450
Shiming Liu 1 , Rui Liu 1 , Shuheng Tang 1 , Cunliang Zhao 2 , Bangjun Liu 2 , Junwei Diao 3 , Zhaodong Xi 1
Affiliation  

The Iqe coalfield is one of the most significant coal production bases in the Qaidam Basin. Over the last few decades, core explorations have targeted the Dameigou Formation for No. 7 coal seam (M7). Although many M7 coal samples have been analyzed for coal components in the laboratory, the systematic understanding of the components and changes of coal in the whole Iqe coalfield is still inadequate. In this study, we focus on building log interpretation models to accurately calculate the content of coal components of M7, including ash yield (Aad), volatile matter (Vdaf), fixed carbon (FCad), and moisture (Mad). Multiple regression analysis and statistical method, combined with the rock volume model, were used to establish log interpretation models of coal components. A total of 28 coal samples from ZK1, ZK2, ZK11-5, ZK23-4, and ZK36-9 wells in the Iqe coalfield were involved in the modeling, as well as well-logs parameters, such as radioactivity (GR), compensation density (DEN), acoustic (AC), and resistivity (RLLD). According to sensitivity analysis, the fitted Aad and Vdaf contents of M7 increase with the increasing of DEN and GR values, whereas the FCad content shows the opposite way. Furthermore, the positive relationship between Aad and Vdaf (R2 = 0.59) and the negative relationship between Aad and FCad (R2 = 0.92) as well as Vdaf and FCad (R2 = 0.69) indicate that Aad is a key factor in coal and should be prior determined. Finally, based on the multiple regression analysis and rock volume model, we proposed log interpretation models for M7 coal components in the Iqe coalfield, these models have been examined successfully by the case studies from the same coalfield and will provide new insights into the application of geophysical log parameters for coal quality evaluation.



中文翻译:

基于地球物理测井解释模型的煤组分定量测量——以柴达木盆地为例

伊齐煤田是柴达木盆地最重要的煤炭生产基地之一。在过去的几十年中,岩心勘探主要针对 7 号煤层(M7)的大梅沟组。虽然实验室已经对许多M7煤样进行了煤成分分析,但对整个伊克煤田的煤成分和变化的系统认识还不够。在本研究中,我们重点建立测井解释模型,以准确计算 M7 煤组分的含量,包括灰分 (A ad )、挥发分 (V daf )、固定碳 (FC ad ) 和水分 (M ad ))。采用多元回归分析和统计方法,结合岩石体积模型,建立煤组分测井解释模型。Iqe煤田ZK1、ZK2、ZK11-5、ZK23-4和ZK36-9井共28个煤样参与建模,以及测井参数,如放射性(GR)、补偿密度 (DEN)、声学 (AC) 和电阻率 (RLLD)。根据敏感性分析,M7拟合的 A ad和 V daf含量随着 DEN 和 GR 值的增加而增加,而 FC ad含量则相反。此外,A ad和 V daf ( R 2 = 0.59) 和 A ad和 FC ad之间的负相关关系( R 2  = 0.92) 以及 V daf和 FC ad ( R 2  = 0.69) 表明 A ad是煤炭中的关键因素,应事先确定。最后,基于多元回归分析和岩体体积模型,我们提出了Iqe煤田M7煤组分的测井解释模型,这些模型已经通过同一煤田的案例研究成功验证,将为应用程序提供新的见解。煤炭质量评价的地球物理测井参数。

更新日期:2021-06-02
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