Successful application of time-lapse seismic data in Shell Expro's Gannet Fields, Central North Sea, UKCS

Kloosterman, H. J.; Kelly, R. S.; Stammeijer, Jan; Hartung, M.; Waarde, J. van; Chajecki, C.

doi:10.1144/1354-079302-513

Cited by 19 publications

(4 citation statements)

References 3 publications

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“…A second example of scenario-based logic to mature fields, using a modified workflow, is a case from the Gannet B Field in the Central North Sea (Bentley & Hartung 2001;Kloosterman et al 2003). The issue to model in Gannet B was the risk and timing of potential water breakthrough in one of the field's two gas producers, and placing value on alternative contingent activities postbreakthrough.…”

Section: Application -Brownfieldmentioning

confidence: 99%

Scenario-based reservoir modelling: the need for more determinism and less anchoring

Bentley¹,

Smith²

2008

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The scenario-based reservoir modelling method places a strong emphasis on the deterministic control of the model design, contrasting with strongly probabilistic approaches in which effort is focused on the ‘richness’ of a geostatistical algorithm to derive multiple stochastic realizations. Scenario-based approaches also differ from traditional ‘rationalist’ modelling, which often involves the construction of only a single, best-guess or base-case model. The advantage of scenario modelling is that there is no requirement to anchor on a preferred, base-case model, and it is argued here that selection of a base case is detrimental to achieving appropriately wide uncertainty ranges. Multiple-deterministic scenario modelling also carries the advantage of maintaining explicit dependency between model parameters and the ultimate model outcome, such as a development plan. The approach has been applied widely to new fields, where multiple deterministic reservoir simulations of a suite of static models can be easily handled. The approach has also been extended to mature fields, in which practical approaches to multiple-history matching are required. Mature field scenario modelling, in particular, illustrates the weaknesses of base-case modelling, and delivers a strong statement on the non-uniqueness of modelling in general. Current issues are the need to develop better methodologies for multiple-history matching, and for linking discrete, deterministic, scenario-based outcomes to probabilistic reporting. Experimental design methods offer a solution to the latter issue, and a simple, practical workflow for its application is described.

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Section: Application -Brownfieldmentioning

confidence: 99%

Scenario-based reservoir modelling: the need for more determinism and less anchoring

Bentley¹,

Smith²

2008

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“…For reservoir management purposes, however, it is most important to characterize permeability extremes, and timelapse seismic has proven effective in providing this information 11,12,13 . The clearest indication comes in observing sealing faults that either compartmentalize or control fluid movement.…”

Section: Drilling Hazard Identification Listed Inmentioning

confidence: 99%

Using Multicomponent Seismic Data to Better Understand Reservoir Characteristics

John¹,

Pål²

2003

Proceedings of SPE Annual Technical Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractMulticomponent (3C on land/4C on seabed) seismic data has unique information content that has proven to be useful in structural interpretation. As such, development of 3C/4C seismic acquisition, processing, and interpretation systems has increased over the past few years within the geophysical community. These improvements have shown that 3C/4C seismic information has application beyond structural interpretation, and can reveal internal reservoir characteristics that are directly useful in understanding and managing the reservoir.After reviewing the principles, applications, benefits, and recent advances in 3C/4C seismic technology, all from an engineering perspective, this paper concludes that 3C/4C seismic has utility beyond the known niche applications, such as gas cloud imaging, to applications with broader benefit, such as fracture characterization and drilling hazard identification, as well as better reservoir property prediction and the ability to discriminate lithology (sand/shale) and fluid (water, gas, fizzy water). These conclusions are illustrated with recent case studies.

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“…2000; Alsos et al . 2003; Kloosterman et al . 2003), sometimes used to monitor pressure changes (e.g.…”

Section: Introductionmentioning

confidence: 99%

4D seismic for oil‐rim monitoring

Staples

Hague

Weisenborn

et al. 2005

Geophysical Prospecting

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In the central North Sea ‘Gannet‐A’ field, a 50 ft oil rim is overlain by a gas cap of variable thickness. Oil is produced from horizontal wells which initially produced dry oil, but as the field became more mature, a significant water cut was seen in several wells. A dedicated 4D seismic monitor survey was acquired in order to assess the remaining distribution of oil reserves. By forward modelling the synthetic seismic response to parameters such as contact movement and residual saturations (using 2D and 3D wedge models), and comparing the results with real seismic data, we are able to decipher the contact movements across the field. It is shown that, in one part of the field, the increased water cut is caused primarily by the vertical displacement of the entire oil rim into the initial gas cap. This oil‐rim displacement produces a very different 4D seismic response from the case of a static gas–oil contact and rising oil–water contact (normal production). As a result of these observations, we are able to optimize field production by both re‐perforation of existing wells and by drilling sidetracks into the displaced rim: a brown‐field development opportunity that might otherwise be missed.

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Successful application of time-lapse seismic data in Shell Expro's Gannet Fields, Central North Sea, UKCS

Cited by 19 publications

References 3 publications

Scenario-based reservoir modelling: the need for more determinism and less anchoring

Scenario-based reservoir modelling: the need for more determinism and less anchoring

Using Multicomponent Seismic Data to Better Understand Reservoir Characteristics

4D seismic for oil‐rim monitoring

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