Geological Reservoir Heterogeneity Databases and Their Application to Integrated Reservoir Description

Geehan, Gregory W.; Pearce, Anna

doi:10.1007/978-94-011-0896-6_10

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…To summarize, for these models was built ( Fig. 5), which matches the range in values observed in literature studies for fluvial and deepwater channel deposits (for example, Fielding and Crane, 1987;Geehan andPearce, 1994, Clark andPickering, 1996). This suite of models uses the same conditioning data, including the same net to gross (35%), porosity and permeability distribution, and variograms as those described in previous examples.…”

Section: Effect Of Channel Width On Recovery Efficiencymentioning

confidence: 56%

“…Because vertical wells only provide information about channel thickness, and 3D seismic data may or may not resolve the geometry of individual channel deposits, channel deposit width represents a key reservoir uncertainty. Databases and functions are available to calculate or estimate channel width given channel thickness information based on interpretation of well logs of fluvial and deep-water reservoirs (Fielding and Crane, 1987;Geehan and Pearce, 1994;Clark and Pickering, 1996). To test the relationship between channel width and recovery from the reservoir, a suite of geologic models with variable width to thickness ratios of 5 to 500 Fig.…”

Section: Effect Of Channel Width On Recovery Efficiencymentioning

confidence: 99%

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Why Is Reservoir Architecture an Insignificant Uncertainty in Many Appraisal and Development Studies of Clastic Channelized Reservoirs?

Larue

Hovadik²

2008

Journal of Petroleum Geology

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To address uncertainty, models created for appraisal and development studies try to capture the full range of possible rock and fluid properties, and reservoir and structural architecture. Using experimental designs, each parameter can be varied to indicate how uncertainty for the parameter affects the outcome (for example, recovery after 30 years). In numerous models in appraisal and development studies, stratigraphic or reservoir architecture is not recognized as a significant uncertainty. This is a concern for two reasons. First, reservoir architecture is known to be an important parameter influencing oil production. It is puzzling that experimental design studies indicate it is not a significant uncertainty. Second, building geologically realistic earth models can involve months of time and can impact timelines for development projects. If reservoir architecture is in fact a non-significant uncertainty, perhaps detailed modelling could be postponed. The current study addresses in what situations reservoir architecture is important in appraisal and development studies. Reservoir architecture characteristics considered are net to gross, channel orientation, channel stacking pattern, channel sinuosity, channel width/thickness, type of architectural element, influence of shale units within channel fills, influence of channel drapes at the base of channels, presence of other facies, influence of valley fills, and sheet geometries. Two field characterizations were studied using the same workflow, and results are compared with results of conceptual modelling studies.For studies of recovery uncertainty, it is shown here that models that look to be very different may have similar dynamic performances because of similar reservoir connectivities and path lengths. Moreover, it is shown that the elements of reservoir architecture investigated (channel width/thickness ratio, sinuosity, orientation, thickness, element type) do not control recovery efficiency to a large degree unless reservoir connectivity is impacted. Reservoir architecture may not be an important uncertainty in appraisal and development studies unless reservoir connectivity or tortuosity are affected. Although reservoir architecture may not represent a key uncertainty in appraisal and development studies, it may well be a significant uncertainty for well planning in mature fields.

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Section: Effect Of Channel Width On Recovery Efficiencymentioning

confidence: 56%

Section: Effect Of Channel Width On Recovery Efficiencymentioning

confidence: 99%

Why Is Reservoir Architecture an Insignificant Uncertainty in Many Appraisal and Development Studies of Clastic Channelized Reservoirs?

Larue

Hovadik²

2008

Journal of Petroleum Geology

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“…For the objects that are to be modelled explicitly, these routines generally require quantitative constraints on size (thickness, length, width), shape and orientation (azimuth and dip), together with any significant trends between these variables (Geehan & Pearce, 1994;Lanzarini et al, 1997;Pinheiro et al, 2002). Of these, thickness is often the only measurement that can be taken directly from well data.…”

Section: Scaling and Hierarchy In Braided Rivers And Their Deposits: mentioning

confidence: 98%

Scaling and Hierarchy in Braided Rivers and their Deposits: Examples and Implications for Reservoir Modelling

Kelly

2006

Braided Rivers

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Globally, there are numerous significant hydrocarbon accumulations within braided fluvial reservoirs. Building successful subsurface models of braided fluvial reservoirs requires the inclusion of information from a wide variety of sources, including appropriate analogues (both modern and ancient) as well as specific field data. In addition to field data (primarily from boreholes), many published static modelling strategies for fluvial reservoirs use data collected from modern rivers or two-dimensional outcrops to infer three-dimensional reservoir architecture and geometry. However, there has been little attempt to evaluate the statistical significance of these various datasets or how they may be linked. The approach advocated in this paper utilizes statistical aspects of both modern rivers and ancient fluvial deposits such that the properties of analogue datasets allow their inclusion into reservoir modelling routines in an informed manner. This approach allows estimates of reservoir geometry at a variety of scales utilizing limited datasets such as are typically available in the subsurface. The scale invariant characteristics observed in fluvial systems and their deposits suggest that empirical predictions of key variables such as braid bar width and length can be made if additional data are known, or can be reasonably estimated (such as channel depth). In addition, confident observations of one level of reservoir hierarchy (e.g. bedsets) can allow the prediction of attributes of other levels of hierarchy (e.g. storeys) that may be more difficult to observe directly but are potentially significant for flow behaviour and reservoir performance.

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“…This created a new branch of geoscience and saw the first recognized applied computational geologists, able to transfer the traditional qualitative observations into digital data. These new numerical static descriptions could be upscaled and transferred into simulations and predictions of reservoir performance by reservoir and petroleum engineers including Haldersen et al (1987), Dubrule (1989) and Geehan & Pearce (1994). The data, associated models and interpretations have enabled a deeper understanding of the nature and range of subsurface uncertainties, and how these impacted risks to delivering promised resource assessments, reservoir production profiles, production forecasts and well rates ( Fig.…”

Section: Contextmentioning

confidence: 99%

Reducing uncertainty and risk through field-based studies

Bowman

Smyth

2016

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Abstract:Field-based studies, be they regional or basin-scale fieldwork, or the examination of outcrop analogues, have been an important component of petroleum system studies in the upstream oil and gas industry for many years. Recent technological advances, founded on traditional field methodologies, whether they are in digital outcrop characterization or developments in processing and computational capabilities, have fuelled a resurgence in such fieldwork. These studies enable the building of realistic models that allow the exploration or production geoscientist to navigate effectively from plate-to-play-to-pore. The interrogation of field data and resulting models provide a more informed means of benchmarking the subsurface, as well as a more realistic view of subsurface uncertainty and the management of associated risk in subsurface description and prediction.

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Geological Reservoir Heterogeneity Databases and Their Application to Integrated Reservoir Description

Cited by 5 publications

References 9 publications

Why Is Reservoir Architecture an Insignificant Uncertainty in Many Appraisal and Development Studies of Clastic Channelized Reservoirs?

Why Is Reservoir Architecture an Insignificant Uncertainty in Many Appraisal and Development Studies of Clastic Channelized Reservoirs?

Scaling and Hierarchy in Braided Rivers and their Deposits: Examples and Implications for Reservoir Modelling

Reducing uncertainty and risk through field-based studies

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