Capturing channelized reservoir connectivity uncertainty with amalgamation curves

Peter, Costanzo; Sacchi, Quinto Renato; Serazio, Cristina; Verga, Francesca

doi:10.1016/j.marpetgeo.2017.07.017

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…Hovadik and Larue, 2007;de Jager et al, 2009;Jha et al, 2016). In this perspective it is also significant that studies that describe the sensitivity of static and dynamic connectivity of channel deposits to channel-body characteristics fundamentally rely on object-based models (McKenna and Smith, 2004;de Jager et al, 2009;Larue and Friedmann, 2005;Larue and Hovadik, 2006;Hovadik and Larue, 2007;Burns et al, 2010;Jha et al, 2016;Peter et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…The significance of selecting suitable analogs for defining the input to object-based models is highlighted by recognition of the impact of channel-body characteristics on the static and dynamic connectivity of fluvial reservoirs and aquifers (cf. McKenna and Smith, 2004;Larue and Friedmann, 2005;Larue and Hovadik, 2006;Hovadik and Larue, 2007;Liu and Atan, 2008;de Jager et al, 2009;Burns et al, 2010;Jha et al, 2016;Peter et al, 2017). Realistic reproduction of sandbody connectivity in fluvial aquifers and reservoirs is crucial to several applications, for example when predictions need to be made relating to the efficiency of hydrocarbon production, the behavior of contaminant plumes, spatial variability in groundwater drawdown, the viability of programs of carbon capture and storage, or optimal geothermal exploitation of hot sedimentary aquifers (e.g., Keogh et al, 2007;Ronayne et al, 2008;Giambastiani et al, 2012;Norden and Frykman, 2013;Issautier et al, 2014;Jeong and Srinivasan, 2016;Nguyen et al, 2017;Willems et al, 2017;Marini et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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The geometry of fluvial channel bodies: Empirical characterization and implications for object-based models of the subsurface

et al. 2019

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The geometry of fluvial channel bodies: Empirical characterization and implications for object-based models of the subsurface

et al. 2019

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“…Reservoir characterization requires accounting for uncertainties in channelized reservoir connectivity. Amalgamation curves are useful tools for quantifying uncertainty in hydrocarbon distribution within the reservoir [66].…”

Section: Channel Features Relevant To Hydrocarbon Reservoirsmentioning

confidence: 99%

Turbidite Dynamics and Hydrocarbon Reservoir Formation in the Tano Basin: A Coastal West African Perspective

Appiah,

Danuor,

Bedu-Addo

et al. 2024

IJG

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This study examines the turbidite dynamics and hydrocarbon reservoir formation in Ghana's Tano Basin, which is located in coastal West Africa. Through an exploration of geological processes spanning millions of years, we uncover key factors shaping hydrocarbon accumulation, including source rock richness, temperature, pressure, and geological structures. The research offers valuable insights applicable to exploration, management, and sustainable resource exploitation in coastal West Africa. It facilitates the identification of exploration targets with higher hydrocarbon potential, enables the anticipation of reservoir potential within the Tano Basin, and assists in tailoring exploration and management strategies to specific geological conditions of the Tano Basin. Analysis of fluvial channels sheds light on their impact on landscape formation and hydrocarbon exploration. The investigation into turbidite systems unveils intricate interactions involving tectonics, sea-level fluctuations, and sedimentation patterns, influencing the development of reservoirs. An understanding of sediment transport and depositional settings is essential for efficient reservoir management. Geomorphological features, such as channels, submarine canyons, and distinct channel types, are essential in this situation. A detailed examination of turbidite channel structures, encompassing canyons, channel complexes, convex channels, and U-shaped channels, provides valuable insights and aids in identifying exploration targets like basal lag, channel levees, and lobes. These findings underscore the enduring significance of turbidite systems as conduits for sediment transport, contributing to enhanced reservoir management and efficient hydrocarbon production. The study also highlights how important it is to examine the configuration of sedimentary layers, stacking patterns, and angular laminated facies to identify turbidites, understand reservoir distribution, and improve

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“…Further analysis and characteristics of the outcrop in the Donghe sandstone of the HD4 oilfield show that the lithology of layer interface is mainly mudstone or silty mudstone (Figure 1), which show notable differences in the weathering of the outcrop and possess a clear reservoir's structural characteristics in beach sand facies (Figure 1). The architecture of layered reservoirs is more common in backshore dams, beach sand shoals, channels, tidal flats, and other depositional facies (Fan et al, 2014;Pan et al, 2015;Zahid et al, 2021;Fawad et al, 2022;Peter et al, 2017). Due to the difference in origin, the thickness of a single layer and the number of interlayers is different.…”

Section: Modeling Of Reservoir Architecture 221 Establishment Of a Co...mentioning

confidence: 99%

Physical simulation of remaining oil distribution in the 3rd-order architecture unit in beach sand reservoir

Liu

Fawad²,

Li³

et al. 2023

Front. Earth Sci.

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Introduction: Oilfield development’s primary objective has changed in recent years as a result of a deeper focus on oilfield exploration and possible reservoir oil extraction. These days, the distribution and characteristics of residual oil are hot topics.Methodology: This research study provides a physical simulation of the remaining oil distribution in the third-order architectural unit in the beach reservoir. Based on the reservoir geometry and compositional sequence, the third-order architecture unit in a beach sand reservoir can be divided into three types: layered, plate-like, and trough-like architecture units.Results and Discussion: A water-flooding simulation experiment is performed to find the distribution pattern of remaining oil (shortened as RO and used hereafter) and the controlling effect of the mudstone interlayer. The simulation results revealed that in the layered architecture unit with reverse-graded bedding, RO is mainly distributed between interlayers and accumulates at the bottom in fine-grain sands. The horizontal distribution of the mudstone interlayer has a profound effect on blocking the longitudinal migration of fluid. Second, in the plate-like architecture unit with uniform grain size, RO is mainly found in the middle portion of the model, separated by clay interlayers, with irregular presence of RO in the upper and lower part of the model. The oblique distribution of the clay interlayer has a significant effect on blocking the lateral migration of the fluid. Thirdly, in the trough-like architectural unit with normal-graded bedding, the RO is mainly distributed on top of the model in fine-grain sands and on the ridge-like parts formed by the interlayer’s intersection.Conclusion: A trough-like clay interlayer can promote fluid movement. RO distribution patterns from the current experiment can be used to explore the remaining oil in beach sand reservoirs of similar oilfields.

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Capturing channelized reservoir connectivity uncertainty with amalgamation curves

Cited by 6 publications

References 28 publications

The geometry of fluvial channel bodies: Empirical characterization and implications for object-based models of the subsurface

The geometry of fluvial channel bodies: Empirical characterization and implications for object-based models of the subsurface

Turbidite Dynamics and Hydrocarbon Reservoir Formation in the Tano Basin: A Coastal West African Perspective

Physical simulation of remaining oil distribution in the 3rd-order architecture unit in beach sand reservoir

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