苏北盆地古近系阜宁组页岩工程品质测井评价

李红斌; 王贵文; 庞小娇; 刘小平; 王高成; 舒红林; 罗瑀峰; 刘梦才; 赖锦

doi:10.19509/j.cnki.dzkq.tb20210692

苏北盆地古近系阜宁组页岩工程品质测井评价

doi: 10.19509/j.cnki.dzkq.tb20210692

李红斌^1a,,
王贵文^{1a, 1b, ,},
庞小娇^1a,
刘小平^{1a, 1b},
王高成²,
舒红林²,
罗瑀峰²,
刘梦才²,
赖锦^{1a, 1b}

1a.
中国石油大学(北京)地球科学学院, 北京 102249
1b.
中国石油大学(北京)油气资源与探测国家重点实验室, 北京 102249
2.
中国石油浙江油田分公司勘探开发研究院, 杭州 310023

基金项目:

国家自然科学基金项目 42002133

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)战略合作科技专项 ZLZX2020-01-06-01

详细信息

作者简介:
李红斌(1997—), 男, 现正攻读地质学专业博士学位, 主要从事测井地质学研究工作。E-mail: ab210226@163.com

通讯作者:
王贵文(1966—), 男, 教授, 博士生导师, 主要从事沉积学、储层地质学与测井地质学方面的教学与科研工作。E-mail: wanggw@cup.edu.cn

中图分类号: P631.8
计量
- 文章访问数: 623
- PDF下载量: 48
- 被引次数: 0
出版历程
- 收稿日期: 2021-11-11

Logging evaluation of the engineering quality of the Paleogene Funing Formation oil shales in the Subei Basin

Li Hongbin^{1a
,},
Wang Guiwen^{1a, 1b
, ,},
Pang Xiaojiao^1a,
Liu Xiaoping^{1a, 1b},
Wang Gaocheng²,
Shu Honglin²,
Luo Yufeng²,
Liu Mengcai²,
Lai Jin^{1a, 1b}

1a.
College of Geosciences, China University of Petroleum(Beijing), Beijing 102249, China
1b.
State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum(Beijing), Beijing 102249, China
2.
Research Institute of Petroleum Exploration Development, PetroChina Zhejiang Oilfield Company, Hangzhou 310023, China

摘要

摘要:
页岩储层通常无自然产能, 需要采用水平井钻井和体积压裂等手段进行商业开采, 基于工程品质测井评价的页岩可压裂层段优选工作显得尤为重要。以苏北盆地古近系阜宁组页岩为例, 应用阵列声波资料计算泊松比、杨氏模量等岩石力学参数, 并与岩心实测资料刻度实现岩石力学参数动静态转换, 以此为基础应用泊-杨法和一维岩石力学模型分别计算脆性指数与三轴地应力。综合考虑单井不同层段的脆性指数以及水平主应力差, 优选了脆性指数以及脆性指数与水平最大、最小主应力差的比值作为工程品质表征参数。结合试油资料表明对于脆性指数越大、水平主应力差越小的储层, 其压裂后产能越高。将苏北盆地阜宁组工程品质划分为两类: Ⅰ类高产(工程品质表征参数>2.2), Ⅱ类中-低产(工程品质表征参数 < 2.2), 并且Ⅰ类工程"甜点"段普遍压裂出油, 表明依据该参数的"甜点"分类效果较好。页岩工程品质测井评价结果, 可为可压裂性层段的优选提供理论依据与技术支撑, 为页岩储层钻井轨迹设计与压裂设计工作提供科学指导。
- 页岩油 /
- 工程品质 /
- 脆性指数 /
- 水平主应力差 /
- 测井评价 /
- 阜宁组 /
- 苏北盆地
Abstract:
Shale oil reservoirs, characterized by no productivity, are developed by horizontal drilling and volume fracturing, and it is very important to optimize shale fracable intervals based on engineering quality logging evaluation. The Paleogene Funing Formation shale in the Subei Basin is taken as a typical example in this study. A sonic scanner is used to calculate the elastic parameters, including Poisson's ratio and Young's modulus. Dynamic and static parameters are converted through core analysis data. The brittleness index and in situ stress are calculated according to Poisson's ratio and Young's modulus. In addition, a one-dimensional rock mechanics model was constructed with the shear slowness in a single well to calculate three components of in situ stress. Finally, considering the difference in the brittleness index and horizontal stress differences between different layers, brittleness index (BI) and (BI/(σ_H-σ_h)) were selected to describe the engineering quality. According to oil test data, the larger the brittleness index and the smaller the horizontal stress are, the higher the capacity after fracturing. A cross plot of the brittleness index and BI/(σ_H-σ_h) is established to divide the reservoir types. Consequently, there are two types, including I high productivity(engineering quality characterization parameters >2.2) and Ⅱ medium-low productivity (engineering quality characterization parameters < 2.2), in the Paleogene Funing Formation in the Subei Basin. High productivity produces oil after fracturing, which suggests that the classification results of sweet spots depending on the engineering quality characterization parameters are better. Logging evaluation of the engineering quality of shale oil reservoirs can provide a theoretical basis and technical guidance for optimizing favorable fracability and high productivity layers and provide scientific guidance for drilling and fracturing layer optimization of shale reservoirs.
- shale oil /
- engineering quality /
- brittleness index /
- in situ stress difference /
- logging evaluation /
- Funing Formation /
- Subei Basin

HTML全文

图 1 苏北盆地构造区带划分图^[21-22]

a.构造区带划分图；b.区域构造位置图；c.地层分布柱状图

Figure 1. Structural division of the Subei Basin

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图 2 动静态杨氏模量交会图

Figure 2. Crossplot diagram of dynamic and static Young′s modulus

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图 3 动静态泊松比交会图

Figure 3. Crossplot diagram of dynamic and static Poisson′s ratio

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图 4 阜二段XRD全岩衍射分析矿物质量分数分布图

Figure 4. XRD analysis of the diffraction of all mineral content distribution of E₁f₂

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图 5 岩石力学参数测井曲线图

Figure 5. Logging curves of geomechanicl parameters

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图 6 地应力测井曲线图

Figure 6. Logging curve of in-situ stress

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图 7 J10(a)、J19(b)、J(106)(c)和J204(d)井基于阵列声波测井的地应力方向判别

Figure 7. Discrimination of in-situ stress direction according to XMAC in J10(a), J19(b), J(106)(c) and J204(d) wells

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图 8 地应力方向平面分布图(等高线单位为m)

Figure 8. Plane map of in-situ stress orientation

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图 9 BI-(BI/(σ_H-σ_h))交会图

Ⅰ.高产段, 综合评价参数>2.2; Ⅱ.中-低产段, 综合评价参数 < 2.2

Figure 9. Crossplot diagram of BI and (BI/(σ_H-σ_h))

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图 10 J19井阜二段工程品质测井评价^[44]

Figure 10. Logging evaluation of the engineering quality of E₁f₂ in Well J19

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图 11 J106井阜二段工程品质测井评价

Figure 11. Logging evaluation of the engineering quality of E₁f₂ in Well J106

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表 1 岩石力学强度测试结果

Table 1. Rock mechanical strength test results

编号	直径/mm	长度/mm	杨氏模量/GPa	泊松比	围压/MPa	深度/m
8-62/101	24.40	36.80	30.33	0.22	40.00	3 889.32
8-95/101	24.40	53.40	31.34	0.27	40.00	3 895.00
5-65/90	24.50	32.20	29.52	0.30	40.00	3 853.15
8-29/101	24.40	53.10	32.15	0.35	40.00	3 883.66
2-18/54	24.40	49.70	26.86	0.31	40.00	3 819.66
4-59/61	24.50	49.50	29.00	0.35	40.00	3 842.32
6-58/102	24.60	46.40	32.08	0.30	40.00	3 868.45
9-63/98	24.30	51.40	29.50	0.34	40.00	3 907.50
注：测试单位为中国石油大学(华东)石油工程学院岩石力学参数实验室

下载: 导出CSV

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