Quantitative fault seal prediction: a case study from Oseberg Syd

Fristad, Torbjorn; Groth, Audun; Yielding, Graham; Freeman, B.

doi:10.1016/s0928-8937(97)80010-0

Cited by 74 publications

(59 citation statements)

References 5 publications

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“…A 112 similar calibration exercise was conducted in this study (Fig. 3) The calibration dataset derived here, like that of Fristad et al (1997), suggests that 129 higher buoyancy pressures can be supported for gas columns than oil columns. This is to 130 be expected given that in a water-wet system gas threshold pressures are higher than 131 those for oil, due to the higher interfacial tension in the gas-water system.…”

supporting

confidence: 56%

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Calibrating fault seal using a hydrocarbon migration model of the Oseberg Syd area, Viking Graben

Childs

Sylta

Moriya

et al. 2009

Marine and Petroleum Geology

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Publication informationMarine and Petroleum Geology, 26 (6): 764-774 Publisher ElsevierLink to online version http://dx.doi.org/10.1016/j.marpetgeo.2008.05.004Item record/more information http://hdl.handle.net/10197/3028 Publisher's statement þÿ T h i s i s t h e a u t h o r s v e r s i o n o f a w o r k t h a t w a s a c c e p t e d f o r p u b l i c a t i o n i n M a r i n e a n dPetroleum Geology. Changes resulting from the publishing process, such as peer review,

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confidence: 56%

“…Fault seal within the Oseberg Syd area was previously studied by Fristad et al (1997). These authors mapped both across-fault pressure differences and Shale Gouge 104 Ratio (SGR -the proportion of shale in the sequence which has moved past a point on a 105 fault) over fault surfaces.…”

Section: Introductionmentioning

confidence: 99%

Calibrating fault seal using a hydrocarbon migration model of the Oseberg Syd area, Viking Graben

Childs

Sylta

Moriya

et al. 2009

Marine and Petroleum Geology

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“…Moreover, fault hydraulic properties used in hydrogeological modeling studies have often been obtained based upon sensitivity analysis [Haneberg, 1995;Matthaï and Roberts, 1996;Mailloux et al, 1999;Garven et al, 1999]. In the petroleum industry, a more geologically based approach is commonly used in which fault permeability is estimated using the fraction of clay in the fault zone and fault width is estimated from fault throw [e.g., Yielding et al, 1997;Fristad et al, 1997;Freeman et al, 1998;Yielding et al, 1999;Manzocchi et al, 1999;Harris et al, 2002;Yielding, 2002]. Only recently has this technique been applied to groundwater flow problems Bense and Van Balen [2004].…”

Section: Introductionmentioning

confidence: 99%

Faults as conduit‐barrier systems to fluid flow in siliciclastic sedimentary aquifers

Bense

Person

2006

Water Resources Research

201

149

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[1] We argue that the observed conduit-barrier behavior of fault zones in siliciclastic sedimentary aquifer systems can be understood by considering a strongly anisotropic hydraulic structure in the fault. Hydraulic anisotropy in the fault is expected from a variety of mechanisms including clay-smearing, drag of sand, grain re-orientation and vertical segmentation of the fault plane. In this paper, we present an algorithm to predict fault zone width, lithological heterogeneity and hydraulic anisotropy. Estimation of these parameters is based upon the amount of fault throw and the clay-content of the lithologies flanking the fault zone. A suite of steady-state flow models are presented using an idealized stratigraphy consisting of alternating clay and sand-rich layers that are offset by a fault zone. These conceptual simulations show the impact of a fault zone on shallow (<500 m) fluid flow patterns and solute transport for different scenarios of fault throw. Fault width varies along the fault zone and increases from an average width of~2 m for a throw of 50 m to~8 m for a throw of 200 m. Hydraulic anisotropy in the fault zone in these scenarios is predicted to range between two to three orders of magnitude. Our results show that faults can form a preferential path way between aquifers at different depths over vertical distances of several hundreds of meters (that are otherwise separated by confining units) when fault permeability is strongly anisotropic. However, in the same scenario anomalously high hydraulic head gradients across the fault would still suggest that they act as an effective barrier to lateral groundwater flow. This has important implications for the assessment of the risk of a spread of contaminated groundwater or the reconstruction of hydrocarbon migration within sedimentary basins.

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“…When a fault zone is filled with sandstone, it can act as a hydrocarbon migration pathway since sandstone compacts poorly and has good porosity and permeability. Accordingly, Fu et al (2012) improved the fault gouge ratio (SGR) proposed by Yielding et al (1997) and proposed to characterize the sealing property of faults using the ratio between the mudstone thickness of a fault belt and the sum of the fault throw and faulted formation thicknesses, namely the shale content of the fillings in a given fault belt. Due to the negative inversion of fault F1, Cretaceous shale smeared the fault surface repeatedly.…”

Section: Single-factor Selection and Quantitative Calculationmentioning

confidence: 99%

Improvements to the fuzzy mathematics comprehensive quantitative method for evaluating fault sealing

Da-wei

Yang

et al. 2017

Pet. Sci.

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Fuzzy mathematics is an important means to quantitatively evaluate the properties of fault sealing in petroleum reservoirs. To accurately study fault sealing, the comprehensive quantitative evaluation method of fuzzy mathematics is improved based on a previous study. First, the single-factor membership degree is determined using the dynamic clustering method, then a single-factor evaluation matrix is constructed using a continuous grading function, and finally, the probability distribution of the evaluation grade in a fuzzy evaluation matrix is analyzed. In this study, taking the F1 fault located in the northeastern Chepaizi Bulge as an example, the sealing properties of faults in different strata are quantitatively evaluated using both an improved and an un-improved comprehensive fuzzy mathematics quantitative evaluation method. Based on current oil and gas distribution, it is found that our evaluation results before and after improvement are significantly different. For faults in ''best'' and ''poorest'' intervals, our evaluation results are consistent with oil and gas distribution. However, for the faults in ''good'' or ''poor'' intervals, our evaluation is not completely consistent with oil and gas distribution. The improved evaluation results reflect the overall and local sealing properties of target zones and embody the nonuniformity of fault sealing, indicating the improved method is more suitable for evaluating fault sealing under complicated conditions

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Quantitative fault seal prediction: a case study from Oseberg Syd

Cited by 74 publications

References 5 publications

Calibrating fault seal using a hydrocarbon migration model of the Oseberg Syd area, Viking Graben

Calibrating fault seal using a hydrocarbon migration model of the Oseberg Syd area, Viking Graben

Faults as conduit‐barrier systems to fluid flow in siliciclastic sedimentary aquifers

Improvements to the fuzzy mathematics comprehensive quantitative method for evaluating fault sealing

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