乌干达K油田扇三角洲沉积正演模拟与应用

徐伟; 房磊; 张新叶; 王鹏飞; 刘钧; 杨希濮

doi:10.3799/dqkx.2018.556

乌干达K油田扇三角洲沉积正演模拟与应用

doi: 10.3799/dqkx.2018.556

1.
中海油研究总院, 北京 100028
2.
中海石油(中国)有限公司天津分公司, 天津 300452

基金项目:

国家科技重大专项"海外重点油气田开发钻采关键技术 No.2017ZX05032-004

详细信息

作者简介:
徐伟(1985-), 男, 硕士研究生, 工程师, 主要从事油气田开发地质研究

中图分类号: P539.2
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- 被引次数: 0
出版历程
- 收稿日期: 2018-12-10
- 刊出日期: 2019-02-15

Sedimentary Forward Simulation and Application of Fan Delta in K Oil Field in Uganda

1.
CNOOC Research Institute, Beijing 100028, China
2.
Tianjin Branch of CNOOC Ltd., Tianjin 300452, China

摘要

摘要: 乌干达K油田位于Albert盆地，由于钻井数较少，地震资料品质差，沉积储层空间分布预测存在严峻挑战.根据岩心、测井、古生物、重矿物、粒度分析等资料综合分析后认为，乌干达K油田属滨浅湖环境，发育受边界断层控制的近源扇三角洲沉积，物源方向位于油田东南部，以低能长期的水下分流河道牵引流搬运为主.在沉积主控因素定量分析的基础上，将可容纳空间变化、物源供应及沉积物搬运等参数定量表征，并在年代地层框架约束下，通过正演模拟，再现地质历史时期地层沉积演化过程，建立了三维储层砂岩分布概率模型，进一步认识了研究区各层砂体的空间分布特征.将沉积演化模拟的砂岩分布结果转化为三维地质建模的定量控制条件，对沉积相模型进行约束，建立了更符合沉积认识的高精度相控地质模型，实现了扇三角洲储层砂体定量预测与表征.
- 扇三角洲 /
- 储层分布 /
- 沉积正演模拟 /
- 三维地质模型 /
- 油田
Abstract: Due to the poor quality of seismic data and few wells, it is full of challenge to predict reservoir distribution in K oil field which is located at the south of Albert basin in Uganda. According to the comprehensive analyses of core, well logging, paleontology, heavy minerals and grain size, K oil field in Uganda is a shallow lake environment and developed near the source fan delta controlled by bounding fault. The direction of the sediment source located at southeast of this field and it was supplied by predominant distributary channel traction current in low energy and long term. On the basis of quantitative analysis of sedimentary impact factors, the quantified accommodation space variation, sedimentation supply and sediment transportation were put into sedimentary forward simulation under the control of chronostratigraphic framework to reconstruct stratigraphic evolution progress in geological history. Thus a three-dimension reservoir sand proportion distribution model was constructed to facilitate further understanding the spatial distribution characteristic of the sand in each zone. After transforming the results of sedimentary forward simulation into quantitative constraints for 3D geological modeling to control the facies model, a more accurate geological model which is consistent with the high accuracy of the sedimentary concept is established to predict and characterize the fan delta reservoir sand quantitatively.
- fan delta /
- reservoir distribution /
- sedimentary forward simulation /
- 3D geological model /
- oil field

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图 1 乌干达K油田地理位置与构造背景

a.乌干达K油田构造地理位置图；b.研究区地理位置图；c.研究区区域构造位置图；d.研究区综合地层柱状图

Fig. 1. Geographical location and tectonic background of K oil field, Uganda

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图 4 乌干达K油田层序划分与对比

Fig. 4. Sequence division and correlation of K oil field, Uganda

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图 2 沉积演化模拟流程图

Fig. 2. Sedimentary evolution simulation workflow scheme

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图 3 乌干达K油田K-3S井GR曲线频谱分析

Fig. 3. Spectrum analysis of GR from well KF-3S in K oil field, Uganda

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图 7 乌干达K油田地震反射剖面(a)和沉积模拟结果剖面(b)

Fig. 7. Seismic reflection profile (a) and sedimentary simulation profile (b) of K oil field, Uganda

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图 5 K油田储层砂岩粒度C-M图

Fig. 5. C-M plot of reservoir sand grain size in K oil field, Uganda

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图 6 乌干达K油田含砂率模型

a.A层含砂率模型，t=3.9 Ma；b.B层含砂率模型，t=4.8 Ma；c.C层含砂率模型，t=5.3 Ma

Fig. 6. Sand proportion model of K oil field, Uganda

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图 8 乌干达K油田沉积模拟结果岩性连井图

Fig. 8. Lithology correlation of sedimentary simulation of K oil field, Uganda

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图 9 C层相模型约束条件与模拟结果

a.沉积相平面图；b.砂体分布概率图与水下分流河道流线；c.沉积相模型

Fig. 9. Model constraint map and simulation result of zone C

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表 1 乌干达K油田米氏旋回周期与沉积速率估算

Table 1. Milankovitch cycles and sedimentary rate estimation of K oil field, Uganda

周期类型	理论周期(ka)	理论比例	旋回厚度(m)	实际比例	沉积速率(m/ka)
偏心率周期	209	11.06	13.98	10.86	0.067
	96	5.08	6.52	5.07	0.068
斜率周期	54	2.85	3.62	2.81	0.067
	40	2.14	2.61	2.03	0.065
	24	1.25	1.55	1.21	0.065
岁差周期	22	1.18	1.46	1.13	0.065
	19	1.00	1.29	1.00	0.068

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表 2 乌干达K油田供应速率与供应量估计

Table 2. Supply rate and quantity of K oil field, Uganda

地层	平均厚度(m)	沉积时间(Ma)	时间跨度(Ma)	供应量(km³)	供应速率(km³/Ma)
A	25.9	4.22~3.87	0.36	4.2	11.67
B	39.3	4.73~4.22	0.51	6.3	12.35
C	47.0	5.33~4.73	0.60	7.6	12.67

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