Best practice stochastic facies modeling from a channel-fill turbidite sandstone analog (the Quarry outcrop, Eocene Ainsa basin, northeast Spain)

Falivene, O.; Arbués, Pau; Gardiner, Andrew; Pickup, Gillian Elizabeth; Muñoz, Josep Antón; Cabrera, Lluı́s

doi:10.1306/02070605112

Cited by 91 publications

(69 citation statements)

References 65 publications

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“…Janson & Madriz (2012) also note that most studies have been conducted on clastic systems (e.g. Deutsch & Wang 1996;Falivene et al 2006), but that the database of studies is much more limited for carbonates. In this volume, the authors provide a comparison of a surface (thickness)-based approach with an MPS approach to describe and model a lower Carboniferous mixed carbonate/ clastic sequence.…”

Section: Applications Of Geomodellingmentioning

confidence: 99%

Advances in carbonate exploration and reservoir analysis

Garland¹,

Neilson

Laubach

et al. 2012

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The development of innovative techniques and concepts, and the emergence of new plays in carbonate rocks are creating a resurgence of oil and gas discoveries worldwide. The maturity of a basin and the application of exploration concepts have a fundamental influence on exploration strategies. Exploration success often occurs in underexplored basins by applying existing established geological concepts. This approach is commonly undertaken when new basins 'open up' owing to previous political upheavals. The strategy of using new techniques in a proven mature area is particularly appropriate when dealing with unconventional resources (heavy oil, bitumen, stranded gas), while the application of new play concepts (such as lacustrine carbonates) to new areas (i.e. ultra-deep South Atlantic basins) epitomizes frontier exploration.Many low-matrix-porosity hydrocarbon reservoirs are productive because permeability is controlled by fractures and faults. Understanding basic fracture properties is critical in reducing geological risk and therefore reducing well costs and increasing well recovery. The advent of resource plays in carbonate rocks, and the long-standing recognition of naturally fractured carbonate reservoirs means that new fracture and fault analysis and prediction techniques and concepts are essential.A key area of progress has been integration of stratigraphic, structural, geomechanical and diagenetic analysis to populate reservoir models accurately. Dramatic increases in computing and digital imaging capabilities are being harnessed to improve spatial analysis and spatial statistics in reservoirs and ultimately improve 3D geocellular models.

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Section: Applications Of Geomodellingmentioning

confidence: 99%

Advances in carbonate exploration and reservoir analysis

Garland¹,

Neilson

Laubach

et al. 2012

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“…Nevertheless, realistic models reproducing the spatial variability of facies are necessary to provide control over the uncertainty in facies correlations, and stochastic simulation is applied with either objectbased or geostatistical methods (i.e. Haldorsen and Damsleth 1990;Deutsch and Hewett 1996;Koltermann and Gorelick 1996;Webb and Davis 1998;de Marsily et al 1998;Kupfersberger and Deutsch 1999;de Marsily et al 2005;Falivene et al 2006a and2006b). In siliciclastic aquifers, the use of realistic facies models to guide the modeling of porosity and permeability improves predictions, because these parameters are commonly correlated with facies (Anderson 1989;Jussel et al 1994;Ritzi et al 1995;Fogg et al 1998;Gómez-Hernández and Deutsch 1999).…”

Section: Sedimentary Analoguesmentioning

confidence: 99%

Large to intermediate-scale aquifer heterogeneity in fine-grain dominated alluvial fans (Cenozoic As Pontes Basin, northwestern Spain): insight based on three-dimensional geostatistical reconstruction

2007

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Facies reconstructions are used in hydrogeology to improve the interpretation of aquifer permeability.. In the absence of sufficient data to define the heterogeneity due to geological processes, uncertainties in the distribution of aquifer hydrofacies and characteristics may appear. Geometric and geostatistical methods are used to understand and model aquifer hydrofacies distribution, providing models to improve comprehension and development of aquifers. However, these models require some input statistical parameters that can be difficult to infer from the study site. A 3D reconstruction of a kilometer scale fine-grain dominated Cenozoic alluvial fan derived from a large number of continuously cored, closely spaced, and regularly distributed wells is presented. The facies distributions were reconstructed using a genetic stratigraphic subdivision and a deterministic geostatistical algorithm. The reconstruction is slightly affected by variations in the geostatistical input parameters because of the high-density data set. Analysis of the reconstruction allowed identification in the proximal to medial alluvial fan zones of several laterally extensive sand bodies with relatively higher permeability; these sand bodies were quantified in terms of volume, mean thickness, maximum area, and maximum equivalent diameter. These quantifications provide trends and geological scenarios for input statistical parameters to model aquifer systems in similar alluvial fan depositional settings.

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“…Geological modeling methods are divided into deterministic modeling and stochastic modeling (Wu and Li, 2007). With the continuous improvement in the accuracy of reservoir prediction, stochastic modeling or combinations of deterministic and stochastic modeling methods have become more common (Falivene et al, 2006). Traditional stochastic modeling is mainly divided into variogram-based and objectbased methods (Dubrule, 1993).…”

Section: Introductionmentioning

confidence: 99%

Study on facies-controlled model of a reservoir in Xijiang 24-3 oilfield in the Northern Pearl River Mouth Basin

Zheng

Chen

Lü

et al. 2018

Adv. Geo-Energy Res.

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Abstract:To better understand the internal structure of the Xijiang 24-3 Oilfield in the Northern Pearl River Mouth Basin, a reasonable and effective three-dimensional quantitative geological model is needed to characterize the distribution characteristics of the reservoir. Xijiang 24-3 Oilfield is a braided river delta deposition, which contains many sedimentary microfacies in three subfacies zones. The reservoir structure is complex and heterogeneous. The reservoir modeling research was conducted on the Xijiang 24-3 oilfield H3A reservoir. Analysis of the oilfield core, the well-logging, and seismic data, establish a regional structural model. The regional sedimentary microfacies model is simulated by multi-point geostatistics. The reservoir property model is established by using facies-controlled modeling technology with sedimentary microfacies as a constraint condition. A facies-controlled property model and a non-facies-controlled property model are established respectively. The faciescontrolled model corresponds well with the sedimentary microfacies of the reservoir, and the variation trend of the model shows a higher coincidence rate with the distribution characteristics of the well. The facies-controlled model reflects the spatial distribution characteristics of the physical properties of the underground reservoir and is in accord with the actual geological understanding of the reservoir. This model also provides a reliable basis for the next stage of reservoir description and a basis for further exploration and development work.

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Best practice stochastic facies modeling from a channel-fill turbidite sandstone analog (the Quarry outcrop, Eocene Ainsa basin, northeast Spain)

Cited by 91 publications

References 65 publications

Advances in carbonate exploration and reservoir analysis

Advances in carbonate exploration and reservoir analysis

Large to intermediate-scale aquifer heterogeneity in fine-grain dominated alluvial fans (Cenozoic As Pontes Basin, northwestern Spain): insight based on three-dimensional geostatistical reconstruction

Study on facies-controlled model of a reservoir in Xijiang 24-3 oilfield in the Northern Pearl River Mouth Basin

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