基于沉积模拟的总可容空间定量分析

doi:10.13745/j.esf.sf.2023.9.1

地学前缘 ›› 2024, Vol. 31 ›› Issue (2): 391-401.DOI: 10.13745/j.esf.sf.2023.9.1

基于沉积模拟的总可容空间定量分析

沈禄银¹^,²(), 潘仁芳², 吕海涛¹, 段太忠³^,^*(), 贺婷婷⁴, 刘义生¹^,², 赵磊³

1.中国石化西北油田分公司, 新疆乌鲁木齐 830011
2.长江大学地球科学学院, 湖北武汉 430100
3.中国石化石油勘探开发研究院, 北京 102260
4.中国石化集团新星石油有限责任公司, 北京 100083

收稿日期:2022-04-12 修回日期:2023-09-03 出版日期:2024-03-25 发布日期:2024-04-18
通讯作者: *段太忠(1961—),男,博士,教授,主要从事储层表征与建模工作。E-mail: duantz.syky@sinopec.com
作者简介:沈禄银(1989—),男,博士,主要从事综合地质建模工作。E-mail: 201673023@yangtzeu.edu.cn
基金资助:
中国科学院战略先导A项目子课题“深层碳酸盐岩油气储层地质建模”;(XDA14010204);中国石化西北油田分公司科技部项目“塔北地区寒武系沉积结构模拟”(KJ202333)

Quantitative analysis of total accommodation space based on sedimentary simulation

SHEN Luyin¹^,²(), PAN Renfang², LÜ Haitao¹, DUAN Taizhong³^,^*(), HE Tingting⁴, LIU Yisheng¹^,², ZHAO Lei³

1. Northwest Oilfield Company, SINOPEC, Ürümqi 830011, China
2. College of Earth Sciences, Yangtze University, Wuhan 430100, China
3. Petroleum Exploration & Production Research Institute, SINOPEC, Beijing 102260, China
4. Star Petroleum Co.Ltd., SINOPEC, Beijing 100083, China

Received:2022-04-12 Revised:2023-09-03 Online:2024-03-25 Published:2024-04-18

摘要/Abstract

摘要：

为了解决可容空间控制因素多、定量分析难的问题,在沉积过程中为沉积物提供可容空间的因素总结归纳为总可容空间,将影响总可容空间的多种因素总结为初始地形、全球(绝对)海平面变化和总沉降3种主控因素。基于总可容空间的提供量和充填量相符原则,建立了初始地形、全球海平面变化和总沉降与沉积厚度、水深的定量关系;分析了可容空间主控因素对地层结构的影响,提出了总可容空间定量分析方法。总可容空间定量分析不仅可以计算总沉降,降低了三维沉积参数的恢复和表征难度,保障了沉积正、反演过程中提供的总可容空间量符合预期,还可以建立主控因素之间的定量关系,快速恢复合理的地层沉积参数,有利于沉积模型的建立。该研究不仅对可容空间主控因素之间的定量关系有着更直观的认识,还为定量研究有效可容空间奠定了基础。

关键词: 初始地形, 全球海平面变化, 总沉降, 可容空间, 沉积过程模拟

Abstract:

Sediment accommodation space has many controlling factors and is difficult to analyze quantitively. To address this issue, we designate a “total accommodation space”, which is the sum of all accommodation spaces during the deposition process, and summarize various controlling factors into three main factors: initial topography, global (absolute) sea level change, and total settlement. Based on the principle that the volume of the total accommodation space equals its fill volume, a quantitative relationship between the initial topography, global sea level change, total settlement/sedimentary thickness, and water depth is established. The influence of the main controlling factors on the stratum structure is analyzed, and a method for quantitative analysis of total accommodation space is proposed. This method can be applied to not only calculate the total settlement—thus reducing the difficulty in recovery and characterization of 3D sedimentary parameters, and ensuring the total accommodation space provided by sedimentary forward and inversion modeling is in line with expectations—but also establish the quantitative relationship between the main controlling factors and quickly recover the reasonable stratigraphic sedimentary parameters, which is conducive to establishing a sedimentary model. This study not only provides a more intuitive understanding of the quantitative relationship between the main controlling factors of accommodation space, but also lays a foundation for the quantitative study of effective accommodation spaces.

Key words: initial topography, eustatic change, total subsidence, accommodation space, sedimentary process simulation

中图分类号:

沈禄银, 潘仁芳, 吕海涛, 段太忠, 贺婷婷, 刘义生, 赵磊. 基于沉积模拟的总可容空间定量分析[J]. 地学前缘, 2024, 31(2): 391-401.

SHEN Luyin, PAN Renfang, LÜ Haitao, DUAN Taizhong, HE Tingting, LIU Yisheng, ZHAO Lei. Quantitative analysis of total accommodation space based on sedimentary simulation[J]. Earth Science Frontiers, 2024, 31(2): 391-401.

图/表 13

图1 不同因素提供总可容空间的理论示意图 a—充填模型框架;b—初始地形提供总可容空间;c—初始地形和全球海平面变化提供总可容空间;d—初始地形、全球海平面变化和总沉降提供总可容空间。

Fig.1 Theoretical model oftotal accommodation provided by different factors

图2 初始地形、总沉降对模型地层结构的影响 a—测试对比模型;b—初始地形提供总可容空间差异量;c—总沉降提供总可容空间差异量。

Fig.2 Effect of initial topography and total subsidence on model stratigraphic architecture

图3 全球海平面变化对地层结构的影响 a—旋回数为2.25的海平面变化;b—测试对比模型;c—旋回数为2.5的海平面变化;d—旋回数为2.5的海平面变化的沉积模型;e—振幅为100 m的海平面变化;f—振幅为100 m的海平面变化的沉积模型。

Fig.3 The influence of global eustatic change on stratigraphic architecture

图4 海平面变化旋回个数对地层结构的影响

Fig.4 The influence of the number of sea level cycles on the stratigraphic architecture

图5 总供给速率对地层结构的影响 a—0.5倍总供给速率时的沉积模型,b—原始对比模型;c—1.5倍总供给速率时的沉积模型。

Fig.5 The influence of sedimentary rate on the stratigraphic architecture

图6 总沉降自动校正对沉积反演的优化

Fig.6 The optimization of stratigraphic inverse modeling by automatic correction of total subsidence

图7 巴哈马滩工区位置

Fig.7 Location of Bahama beach area

图8 全球海面升降变化

Fig.8 Eustatic change

表1 总沉降量计算

Table1 Calculation of total subsidence

井名	观测数据						总沉降速率 R/(m·ka^-1)
	沉积厚度	水深	初始地形	全球海平面变化		总沉降量
	H/m	W_t/m	W₀/m	L_t/m	L₀/m	S/m
Unda	280.7	6.7	-161.5	0	-40	-85.9	-1.62
Clino	521.1	7.6	-402.6	0	-40	-86.1	-1.62
1005	415	352	-631.2	0	-40	-95.8	-1.81
1007	302	650	-760.8	0	-40	-151.2	-2.85

图9 初始地形

Fig.9 Initial topography and well location distribution

图10 总沉降速率

Fig.10 Total subsidence rate

表2 模拟厚度和实际厚度对比

Table 2 Comparison between simulated thickness and actual thickness

井名	总可容空间/m	观测资料		模拟结果		沉积厚度差异/m	厚度误差/%
井名	总可容空间/m	沉积厚度/m	水深/m	沉积厚度/m	水深/m	沉积厚度差异/m	厚度误差/%
Unda	287.4	280.7	6.7	279.76	7.64	0.94	0.33
Clino	528.7	521.1	7.6	519.59	9.11	1.51	0.29
1005	767	415	352	414.72	352.28	0.28	0.07
1007	952	302	650	301.95	650.05	0.05	0.02

图11 巴哈马滩台地沉积正演模拟结果

Fig.11 Forward modeling results of Bahama beach platform sedimentation

参考文献 27

[1]	POMAR L, HAQ B U. Decoding depositional sequences in carbonate systems: concepts vs experience[J]. Global and Planetary Change, 2016, 146: 190-225.
[2]	成秋明. 什么是数学地球科学及其前沿领域?[J]. 地学前缘, 2021, 28(3): 6-25.
[3]	AINSWORTH R B, MCARTHUR J B, LANG S C, et al. Quantitative sequence stratigraphy[J]. AAPG Bulletin, 2018, 102(10): 1913-1939.
[4]	张昌民, 尹艳树, 尹太举, 等. 基准面旋回定量表征的工作框架[J]. 石油天然气学报, 2007, 29(4): 8-14, 163.
[5]	邓宏文, 王洪亮, 李熙喆. 层序地层地层基准面的识别、对比技术及应用[J]. 石油与天然气地质, 1996, 17(3): 177-184.
[6]	LIANG J T, WANG H L, BLUM M J, et al. Demarcation and correlation of stratigraphic sequences using wavelet and Hilbert-Huang transforms: a case study from Niger Delta Basin[J]. Journal of Petroleum Science and Engineering, 2019, 182: 106329.
[7]	MUTO T, STEEL R J, BURGESS P M. Contributions to sequence stratigraphy from analogue and numerical experiments[J]. Journal of the Geological Society, 2016, 173(5): 837-844.
[8]	BORGOMANO J, LANTEAUME C, LÉONIDE P, et al. Quantitative carbonate sequence stratigraphy: insights from stratigraphic forward models[J]. AAPG Bulletin, 2020, 104(5): 1115-1142.
[9]	MARTINCHIVELET J. Quantitative analysis of accommodation patterns in carbonate platforms: an example from the mid-Cretaceous of SE Spain[J]. Palaeogeography, Palaeoclimatology, Palaeoecology, 2003, 200(1/2/3/4): 83-105.
[10]	DUAN T Z. Similarity measure of sedimentary successions and its application in inverse stratigraphic modeling[J]. Petroleum Science, 2017, 14(3): 484-492.
[11]	JERVEY M T. Quantitative geological modeling of siliciclastic rock sequences and their seismic expression[M]// WILGUSC, HASTINGSB S, KENDALLC G, et al. Sea-level changes:an integrated approach. Tulsa: SEPM, 1988: 47-69.
[12]	POMAR L, KENDALL C G St. C. Architecture of carbonate platforms: a response to hydrodynamics and evolving ecology[M]// LUKASIKJ, SIMOJ A. Controls on carbonate platform and reef development. Tulsa: SEPM, 2008: 187-216.
[13]	王亚青, 董春梅, 邢焕清. 可容空间的研究进展[J]. 海洋地质动态, 2004, 20(10): 32-35.
[14]	CROSS T. Controls on coal distribution in transgressive-regressive cycles, Upper Cretaceous, western interior, USA[M]// WILGUSC K, HASTINGSB S, POSAMENTIERH. Sea-level changes-An integrated approach, Tulsa: SEPM, 1988, 42: 371-380.
[15]	杨树锋, 贾承造, 陈汉林, 等. 沉积盆地构造核心理论和关键技术方法: 前沿与发展方向[J]. 地学前缘, 2022, 29(6): 10-23.
[16]	仝长亮, 朱钰, 吴祥柏, 等. 基于数值模拟的琼州海峡东口推移质输运量估算[J]. 地学前缘, 2023, 30(5): 553-566.
[17]	BOSSCHER H, SCHLAGER W. Accumulation rates of carbonate platforms[J]. The Journal of Geology, 1993, 101(3): 345-355.
[18]	彭光荣, 杜晓东, 姜素华, 等. 基于古地貌和源-汇特征分析的烃源岩评价: 以珠江口盆地阳江凹陷为例[J]. 地学前缘, 2022, 29(5): 188-202.
[19]	黄春菊. 旋回地层学和天文年代学及其在中生代的研究现状[J]. 地学前缘, 2014, 21(2): 48-66.
[20]	石巨业, 金之钧, 刘全有, 等. 天文旋回在页岩油勘探及富有机质页岩地层等时对比中的应用[J]. 地学前缘, 2023, 30(4): 142-151.
[21]	沈禄银, 潘仁芳, 段太忠, 等. 基于地层沉积反演的深时海平面变化曲线恢复方法[J]. 地学前缘, 2023, 30(2): 109-121.
[22]	胡钊彬, 尉建功, 谢志远, 等. 国际大洋钻探全球海平面变化研究进展[J]. 地学前缘, 2022, 29(4): 10-24.
[23]	HAQ B U, HARDENBOL J, VAIL P R. Chronology of fluctuating sea levels since the Triassic[J]. Science, 1987, 235(4793): 1156-1167.
[24]	HAQ B U, SCHUTTER S R. A chronology of Paleozoic sea-level changes[J]. Science, 2008, 322(5898): 64-68.
[25]	HANDFORD C R, LOUCKS R G. Carbonate depositional sequences and systems tracts: responses of carbonate platforms to relative sea-level changes[M]// LOUCKSR G, SARGJ F. Carbonate sequence stratigraphy. Recent developments and applocations. Tulsa: AAPG, 1993, 57: 3-41.
[26]	PATERSON R J, WHITAKER F F, JONES G D, et al. Accommodation and sedimentary architecture of isolated icehouse carbonate platforms: insights from forward modeling with CARB3D+[J]. Journal of Sedimentary Research, 2006, 76(10): 1162-1182.
[27]	段太忠, 王光付, 廉培庆, 等. 油气藏定量地质建模方法与应用[M]. 北京: 石油工业出版社, 2019: 156-198.

基于沉积模拟的总可容空间定量分析

Quantitative analysis of total accommodation space based on sedimentary simulation

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[2]	胡钊彬, 尉建功, 谢志远, 张伙带, 钟广法. 国际大洋钻探全球海平面变化研究进展[J]. 地学前缘, 2022, 29(4): 10-24.