A three-dimensional high-resolution reservoir model of the Eocene Shahejie Formation in Bohai Bay Basin, integrating stratigraphic forward modeling and geostatistics

Yin, Xiangdong; Lu, Shuangfang; Wang, Pengfei; Wang, Qiming; Wang, Wei; Yao, Tongyun

doi:10.1016/j.marpetgeo.2017.02.007

Cited by 15 publications

(3 citation statements)

References 15 publications

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“…Different from classic seismic stratigraphy, seismic sedimentology is a discipline that uses the relationship between seismic amplitude (attribute) with lithology and the relationship between spatial reflection mode with sediment morphology to study sedimentary lithology, physical properties, geomorphology, sedimentary structure, and sedimentary environment. − Seismic geobody interpretation and stratal slicing are important techniques for studying seismic sedimentology. Stratal slicing can map seismic attributes of geological time surfaces .…”

Section: Resultsmentioning

confidence: 99%

Analysis of the Genetic Model of the Extremely Narrow Channel Shallow Water Delta in DL-A Oilfield, Bohai Bay Basin

Fan,

Kong,

et al. 2023

ACS Omega

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Section: Resultsmentioning

confidence: 99%

Analysis of the Genetic Model of the Extremely Narrow Channel Shallow Water Delta in DL-A Oilfield, Bohai Bay Basin

Fan,

Kong,

et al. 2023

ACS Omega

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“…These models are an appropriate approach that integrates all available geological, geophysical, and engineering data (Hirsche et al 1997;Bueno et al 2011;Abdideh and Bargahi 2012;Dai et al 2016). According to recent studies, 3-D geostatistical modeling can support the evaluation of potential CO 2 storage areas in hydrocarbon reservoirs (Vo Thanh et al 2019, 2020bRahim et al 2015;Yin et al 2017). Therefore, geological modeling is a promising tool for maximizing CO 2 utilization in petroleum resources (Kamali et al 2013;Zamora Valcarce et al 2006;Metwalli et al 2017).…”

Section: Introductionmentioning

confidence: 99%

CO2 storage capacity estimation under geological uncertainty using 3-D geological modeling of unconventional reservoir rocks in Shahejie Formation, block Nv32, China

AlRassas

Ren

Sun

et al. 2021

J Petrol Explor Prod Technol

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Underground CO2 storage is a promising technology for mitigating climate change. In this vein, the subsurface condition was inherited a lot of uncertainties that prevent the success of the CO2 storage project. Therefore, this study aims to build the 3D model under geological uncertainties for enhancing CO2 storage capacity in the Shahejie Formation (Es1), Nv32 block, China. The well logs, seismic data, and geological data were used for the construction of 3-D petrophysical models. The target study area model focused on four units (Es1 × 1, Es1 × 2, Es1 × 3, and Es1 × 4) in the Shahejie Formation. Well logs were utilized to predict petrophysical properties; the lithofacies indicated that the Shahejie Formation units are sandstone, shale, and limestone. Also, the petrophysical interpretation demonstrated that the $$Es1$$ E s 1 reservoir exhibited high percentage porosity, permeability, and medium to high net-to-gross ratios. The static model showed that there are lateral heterogeneities in the reservoir properties and lithofacies; optimal reservoir rocks exist in Es1 × 4, Es1 × 3, and Es1 × 2 units. Moreover, the pore volume of the Es1 unit was estimated from petrophysical property models, ranging between 0.554369 and 10.03771 × 106 sm3, with a total volumetric value of 20.0819 × 106 sm3 for the four reservoir units. Then, the 100–400 realizations were generated for the pore volume uncertainties assessment. In consequence, 200 realizations were determined as an optimal solution for capturing geological uncertainties. The estimation of CO2 storage capacity in the Es1 formation ranged from 15.6 to 207.9 × 109 t. This result suggests the potential of CO2 geological storage in the Shahejie Formation, China.

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“…Pyrcz et al designed an event-based and conditioning-flexibility program, ALLUVSIM, especially for fluvial depositional settings [6]. So far, more and more stochastic modeling methods have been created, and they have been applied to many case studies [7][8][9][10][11][12]. For the Sulige gas field, the largest onshore tight gas field, numerous reservoir geological modeling studies using different methods have been published.…”

Section: Introductionmentioning

confidence: 99%

Geostatistical Three-Dimensional Modeling of a Tight Gas Reservoir: A Case Study of Block S6 of the Sulige Gas Field, Ordos Basin, China

2017

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In this study, three-dimensional (3-D) geostatistical models were constructed to quantify distributions of sandstone and mudstone. We propose a new method that employs weight coefficients to balance the sandstone and mudstone data from irregular well patterns during stochastic modeling. This new method begins with classifying well groups according to well distribution patterns; areas with similar well distribution patterns are classified within the same zone. Then, the distributions of sandstone and mudstone for each zone are simulated separately using the sequential indicator simulation (SIS) method, and the relevant variogram parameters for each zone are computed. In this paper, we used block S6 of the Sulige Gas Field in Ordos Basin in China as a case study. We evaluated the quality of each set of parameters through the vacuation checking method; certain wells were removed to generate equiprobable realizations using different seed numbers. Subsequently, the variogram parameters for the entire S6 area were obtained by assigning different weight coefficients to the parameters of each zone. Finally, a quality assessment of the sandstone and mudstone models of the S6 area was conducted using the horizontal wells, which were not involved in the stochastic modeling process. The results show that these variogram parameters, which were calculated using weight coefficients, are reliable.

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A three-dimensional high-resolution reservoir model of the Eocene Shahejie Formation in Bohai Bay Basin, integrating stratigraphic forward modeling and geostatistics

Cited by 15 publications

References 15 publications

Analysis of the Genetic Model of the Extremely Narrow Channel Shallow Water Delta in DL-A Oilfield, Bohai Bay Basin

Analysis of the Genetic Model of the Extremely Narrow Channel Shallow Water Delta in DL-A Oilfield, Bohai Bay Basin

CO2 storage capacity estimation under geological uncertainty using 3-D geological modeling of unconventional reservoir rocks in Shahejie Formation, block Nv32, China

Geostatistical Three-Dimensional Modeling of a Tight Gas Reservoir: A Case Study of Block S6 of the Sulige Gas Field, Ordos Basin, China

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