Thin-interbedded reservoirs prediction based on seismic sedimentology

Ni, Changkuan; Su, Mingjun; Yuan, Cheng; LIU, Huaqing; Cui, Xiang-Li

doi:10.1016/s1876-3804(22)60315-x

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Each sub layer of G4 corresponds to more than a hundred slices, and the slicing effect is good, which can clearly reflect the morphology of the river channel. Through continuous browsing of more than a hundred slices in the corresponding sub layers, clear river channel responses were locked through a large number of continuous slices [9]. The morphological changes of the entire river channel were traced, and the sand in the sub layers was carefully depicted (Fig.…”

Section: Tracing and Characterizing Of Channel Sand In Stratigraphic ...mentioning

confidence: 99%

Application of Seismic Stratigraphic Slice Continuous Browsing Technology to Delicately Characterize River Sedimentary Microfacies

Xiao

2023

IJE

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On the basis of understanding the regional tectonics characteristics and stratigraphic sedimentary characteristics of the study area, the sequence stratigraphic framework within the region is gradually studied by applying the principle of high-resolution sequence stratigraphy, and G4 oil formation is divided into three sets of sand formations, namely, G4 upper, G4 middle, and G4 lower sand formations, and divided into small layers in detail. Through comprehensive analysis of lithofacies, logging facies, and seismic facies, the sedimentary facies of the G4 oil formation are comprehensively analyzed. The main sedimentary facies type of the G4 oil formation is the delta front facies belt, and the most important sedimentary microfacies in the delta front facies belt are underwater distributary channel sedimentary microfacies. Using seismic sedimentology methods, make stratigraphic slices of each sub layer of the G4 oil formation, and use the rapid browsing method of stratigraphic slices to trace river sand in detail.

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Section: Tracing and Characterizing Of Channel Sand In Stratigraphic ...mentioning

confidence: 99%

Application of Seismic Stratigraphic Slice Continuous Browsing Technology to Delicately Characterize River Sedimentary Microfacies

Xiao

2023

IJE

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“…The shift toward TTISR introduces distinct challenges, marked by significant variations in a sand body scale, an increased prevalence of thin layers, and a propensity for internal fault development. 7 These unique characteristics render traditional empirical formulas obsolete. It is crucial to analyze TTISR characteristics quantitatively and develop an efficient recovery efficiency prediction model to mitigate development risks.…”

Section: Introductionmentioning

confidence: 99%

“…As oil and gas exploration progresses, high-quality thick sandstone reservoirs (TSR) are becoming scarce, while there is a growing trend in discovering thick–thin interbedded sandstone reservoirs (TTISR), and the comparison between the two is shown in Figure b and Table . − Using China National Offshore Oil Corporation as an illustration, as of 2023, approximately 20% of proven reserves and 19% of annual production stem from TTISR. The shift toward TTISR introduces distinct challenges, marked by significant variations in a sand body scale, an increased prevalence of thin layers, and a propensity for internal fault development . These unique characteristics render traditional empirical formulas obsolete.…”

Section: Introductionmentioning

confidence: 99%

Factor Analysis and Prediction on Recovery Efficiency in Offshore Sandstone Reservoirs with Thick–Thin Interbedding

Wu,

Yuan,

Gao

et al. 2024

Energy Fuels

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Chinese oil companies have formulated an empirical recovery efficiency model derived from an analysis of over 140 waterflooded oilfields. Initially successful in thick sandstone reservoirs (TSR), the industry has shifted focus to thick−thin interbedded sandstone reservoirs (TTISR). The empirical formula, however, falls short of the desired accuracy (below 60%) in TTISR due to the unique challenges posed, including diverse sand body scales, strong heterogeneity, and easily developed faults. To address these challenges, a comprehensive prediction model (CPM) has been introduced. This model integrates key parameters and refines the predictive capabilities. Noteworthy relationships include the arctangent function correlation between water flooding control (E s ) and well density, as well as the linear relationship between the fault interference coefficient (E f ) and fault block. Reservoir heterogeneity, assessed using Lorenz coefficient L, is intricately incorporated into the CPM. The resulting relationship with the heterogeneity interference coefficient (E L ) follows a quadratic function. The presence of these typical features results in a lower recovery efficiency for TTISR compared to TSR. The CPM unfolds in a three-stage pattern, featuring a concaveascending trend, followed by a period of linear increase, and concluding with a convex-ascending trend as well density grows. This implies that the incremental oil yield diminishes in later stages compared to earlier stages. The effectiveness of the CPM is substantiated by verifying recovery data from the A area of the PL oilfield, achieving an impressive accuracy rate of 91%. Furthermore, the CPM facilitates the swift prediction of well numbers in the B area, showcasing its practical utility. This method not only serves as a robust tool for predicting recovery efficiency but also offers valuable insights for optimizing well numbers in similar oilfield development schemes.

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Application of Seismic Sedimentology in Tight Sandstone Reservoirs in Zhengning Area

Guo

2024

Springer Series in Geomechanics and Geoengineering

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Thin-interbedded reservoirs prediction based on seismic sedimentology

Cited by 8 publications

References 13 publications

Application of Seismic Stratigraphic Slice Continuous Browsing Technology to Delicately Characterize River Sedimentary Microfacies

Application of Seismic Stratigraphic Slice Continuous Browsing Technology to Delicately Characterize River Sedimentary Microfacies

Factor Analysis and Prediction on Recovery Efficiency in Offshore Sandstone Reservoirs with Thick–Thin Interbedding

Application of Seismic Sedimentology in Tight Sandstone Reservoirs in Zhengning Area

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