Quantitative analysis of total accommodation space based on sedimentary simulation

doi:10.13745/j.esf.sf.2023.9.1

Abstract

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

CLC Number:

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.

Figures/Tables 13

Fig.1 Theoretical model oftotal accommodation provided by different factors

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

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

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

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

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

Fig.7 Location of Bahama beach area

Fig.8 Eustatic change

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

Fig.9 Initial topography and well location distribution

Fig.10 Total subsidence rate

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

Fig.11 Forward modeling results of Bahama beach platform sedimentation

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