元素扫描测井在煤系烃源岩识别与评价中的应用

王斌; 夏宗立; 张科; 李玲; 王中瑞; 赵飞; 张有鹏; 赖锦

doi:10.19509/j.cnki.dzkq.tb20240386

元素扫描测井在煤系烃源岩识别与评价中的应用

doi: 10.19509/j.cnki.dzkq.tb20240386

王斌^{1, 2, 3,},
夏宗立^{4a, 4b},
张科^{1, 2, 3},
李玲^{1, 2, 3},
王中瑞^{4a, 4b},
赵飞^{4a, 4b},
张有鹏⁵,
赖锦^{4a, 4b, ,}

1 .
中国石油天然气集团有限公司超深层复杂油气藏勘探开发技术研发中心，新疆库尔勒 841000
2 .
新疆维吾尔自治区超深层复杂油气藏勘探开发工程研究中心，新疆库尔勒 841000
3 .
新疆超深油气重点实验室，新疆库尔勒 841000
4a .
中国石油大学（北京）：油气资源与工程国家重点实验室
4b .
中国石油大学（北京）：地球科学学院
5 .
中国石油集团测井有限公司测井技术研究院，北京 102206

基金项目: 中国石油天然气集团有限公司科技项目“超深层碎屑岩油气分布规律与区带目标优选”（2023ZZ14YJ02）；中国石油天然气股份有限公司科技专项“塔里木盆地深层碎屑岩重点地区综合地质研究、目标优选、技术攻关与现场试验”（2022KT0201）；国家自然科学基金项目（42072150）；中国石油大学（北京）科研启动基金项目（2462021YXZZ003）；中国石油-中国石油大学（北京）战略合作协议项目（ZLZX2020-01）

详细信息

作者简介:
王斌：E-mail：wangb3-tlm@petrolchina.com.cn

通讯作者:
E-mail：laijin@cup.edu.cn

计量
- 文章访问数: 289
- PDF下载量: 5
- 被引次数: 0
出版历程
- 收稿日期: 2024-07-11
- 录用日期: 2024-11-21
- 修回日期: 2024-10-09
- 网络出版日期: 2025-02-26

Application of LithoScanner logs in recognition and evaluation of coaly source rocks

WANG Bin^{1, 2, 3
,},
XIA Zongli^{4a, 4b},
ZHANG Ke^{1, 2, 3},
LI Ling^{1, 2, 3},
WANG Zhongrui^{4a, 4b},
ZHAO Fei^{4a, 4b},
ZHANG Youpeng⁵,
LAI Jin^{4a, 4b
, ,}

1 .
Research and Development Center for Ultra-Deep Complex Reservoir Exploration and Development, CNPC, Korla Xinjiang 841000
2 .
Engineering Research Center for Ultra-deep Complex Reservoir Exploration and Development, Xinjiang Uygur Autonomous Region, Korla Xinjiang 841000
3 .
Xinjiang Key Laboratory of Ultra-deep Oil and Gas, Korla Xinjiang 841000
4a .
State Key Laboratory of Petroleum Resource and Engineering, China University of Petroleum (Beijing)
4b .
College of Geosciences
5 .
Logging Technology Research Institute, China National Logging Corporation, Beijing 102206, China

More Information

Author Bio:
E-mail：wangb3-tlm@petrolchina.com.cn

Corresponding author: E-mail：laijin@cup.edu.cn

摘要

摘要:
库车坳陷三叠系、侏罗系发育湖泊相和沼泽相间互沉积的5套烃源岩层系，按岩性可划分出煤、炭质泥岩和暗色泥岩，其烃源岩具有总有机碳（TOC）丰度较高、厚度大、分布范围广等特征。由于烃源岩纵向分布层系多，不同岩性分布及纵向非均质性强，导致常用的ΔlgR法等在TOC测井定量表征中应用效果较差。为了更好地了解库车坳陷油气资源潜力以及评估油气储量，首先通过岩心等识别了烃源岩岩性特征，进一步通过地球化学分析资料实现烃源岩地质特征评价。将ΔlgR（R为测井电阻率）法运用于TOC测井定量评价，然后将元素扫描测井应用于烃源岩岩性的测井识别工作中，并进一步利用元素扫描测井实现TOC测井定量评价。整体上，三叠系、侏罗系有机质类型以Ⅱ₁型、Ⅱ₂型和Ⅲ型为主，有机质演化为成熟阶段，其烃源岩品质为中等−好烃源岩。通过元素扫描测井识别不同岩性烃源岩并进一步定量评价TOC的方法，其精度相比ΔlgR法提升显著。研究成果对库车坳陷油气资源潜力评估有一定指导意义，同时还有利于拓展元素扫描测井资料应用范围。
- 烃源岩 /
- 测井评价 /
- TOC /
- 元素扫描测井 /
- 库车坳陷
Abstract: Objective
In the Kuqa Depression, the Triassic and Jurassic periods feature five sets of source rock sequences that developed as alternating lake and swamp facies. These sequences can be classified into coal, carbonaceous mudstone, and dark mudstone based on lithology. The source rocks are characterized by high TOC abundance, significant thickness, and wide distribution. However, due to the vertical distribution of multiple source rock layers and the strong heterogeneity in lithological distribution, conventional methods such as the ΔlgR method perform poorly in TOC logging quantification.
Methods
To better understand the hydrocarbon resource potential and assess reserves in the Kuqa Depression, this study first identified the lithological characteristics of the source rocks through core analysis. Further geological characterization was achieved using geochemical analysis data. The ΔlgR method was initially applied for quantitative TOC logging evaluation, followed by the application of LithoScanner logging for lithological identification of the source rocks. Subsequently, LithoScanner logging was utilized for quantitative TOC evaluation.
Results
Overall, the Triassic and Jurassic source rocks are primarily composed of type II1, II2, and III organic matter, with medium to high maturity. The quality of these source rocks ranges from medium to good. The method of using LithoScanner logging to identify different lithological source rocks and quantitatively evaluate TOC demonstrated a significantly higher accuracy compared to the ΔlgR method.
Conclusion
The findings provide valuable guidance for assessing the hydrocarbon resource potential in the Kuqa Depression and expand the application scope of LithoScanner logging data.
- source rock /
- logging evaluation /
- TOC /
- LithoScanner logging /
- Kuqa Depression

HTML全文

图 1 库车坳陷三叠系−侏罗系烃源岩岩性特征图

A. 暗色泥岩，J₂kz（克孜勒努尔组，下同），DB2井，4045.17 m；B. 碳质泥岩，T₃t（塔里奇克组，下同），TD202井，5110.22 m；C. 煤，T₃t，TD202井，5111.85 m

Figure 1. Core photos showing the various lithology of Triassic-Jurassic source rocks in Kuqa Depression

下载: 全尺寸图片幻灯片

图 2 库车坳陷三叠−侏罗系烃源岩T_max与IH关系图

Figure 2. Relationship between T_max and IH of Triassic-Jurassic source rocks in Kuqa Depression

下载: 全尺寸图片幻灯片

图 3 库车坳陷三叠系−侏罗系烃源岩品质评价

A：湖相泥岩；B：煤系泥岩；C：煤岩；D：碳质泥岩

Figure 3. Source rock property evaluation of Triassic-Jurassic source rocks in Kuqa Depression

下载: 全尺寸图片幻灯片

图 4 库车坳陷DB501井侏罗系阳霞组暗色泥岩常规−成像−元素扫描测井响应特征

Figure 4. Conventional-image log and lithoscanner log responses of dark mudrocks of Jurassic Yangxia Formation of Well DB501 in Kuqa Depression

下载: 全尺寸图片幻灯片

图 5 库车坳陷DB501井侏罗系克孜勒努尔组碳质泥岩常规−成像−lithoscanner测井响应

Figure 5. Conventional-image log and lithoscanner log responses of canbonferious mudrocks of Jurassic Kezilenuer Formation of Well DB501 in Kuqa Depression

下载: 全尺寸图片幻灯片

图 6 库车坳陷DB501井侏罗系克孜勒努尔组煤常规-成像-LithoScanner测井响应

Figure 6. Conventional-image log and LithoScanner log responses of coal of Jurassic Kezilenuer Formation of Well DB501 in Kuqa Depression

下载: 全尺寸图片幻灯片

图 7 基于ΔlgR法与岩性扫描测井的库车坳陷烃源TOC测井定量评价方法（DB501井）

Figure 7. TOC content evaluation of source rocks in Kuqa Depression using ΔlgR method and LithoScanner logs (Well DB501)

下载: 全尺寸图片幻灯片

图 8 基于ΔlgR法计算的TOC与岩心实测TOC交会图

Figure 8. Crossplot of core TOC versus TOCcalculated by ΔlgR method

下载: 全尺寸图片幻灯片

图 9 基于LithoScanner测井计算的TOC与岩心实测TOC交会图

Figure 9. Crossplot of core TOC content versus TOC content calculated by LithoScanner log

下载: 全尺寸图片幻灯片

表 1 库车坳陷三叠系−侏罗系烃源岩实测镜质体反射率(R_o)

Table 1. Reflectance of vitrinite measured from Triassic-Jurassic source rocks in Kuqa Depression

地区	井号	层位	R_o平均值/%	层位	R_o平均值/%
吐格地区	TX1	J₁y	0.82	J₂kz	/
	MN1	J₁y	0.58	J₂kz	0.59
	TG4	J₁y	0.76	J₂kz	/
	TG6	J₁y	1.17	J₂kz	0.88
	TD2	J₁y	1.09	J₂kz	/
迪北地区	YS4	J₁y	0.71	J₂kz	0.68
	YN2	J₁y	0.95	J₂kz	0.85
	YN4	J₁y	0.96	J₂kz	0.81
	YN5	J₁y	0.96	J₂kz	/
	DB5	J₁y	1.17	J₂kz	0.98
	DB6	J₁y	1.18	J₂kz	0.88
阳霞地区	YT1	J₁y	1.05	J₂kz	1.07
阳霞地区	YX1	J₁y	0.92	J₂kz	0.89
注：J₁y.下侏罗统阳霞组；J₂kz.中侏罗统克孜勒努尔组

下载: 导出CSV

表 2 库车坳陷三叠系−侏罗系煤系烃源岩测井响应特征

Table 2. Logging response characteristics of hydrocarbon source rocks of Triassic-Jurassic coal system in Kucha Depression

岩性	暗色泥岩	碳炭质泥岩	煤
GR/API	>120	>120	<60
CNC/%	>20	>30	>40
DT/(μs·ft⁻¹)	>70	>80	>110
RT/(Ω⋅m)	>5	>10	>50
DEN/(g·cm⁻³)	<2.6	<2.5	<2.0

下载: 导出CSV

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