Integration of 4D Seismic Monitoring Results as History Match Indicators for Reservoir Simulation

Ali, Amna; Verdiere, Sophie; Brechet, E.; Corpel, Vincent; Agar, Elodie; Cailly, F.; Billon, Olivier

doi:10.2118/159344-ms

Cited by 2 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…identifying unswept zones, connectivity barriers, etc. Although the potential use of 4D seismic results for improving reservoir models has long been recognized, its practical implementation to date has been hampered mainly by uncertainties in petroelastic models (Ali et al, 2012). In order to circumvent these problems, one often resorts to 4D seismic attributes.…”

Section: D Seismic History Matchingmentioning

confidence: 99%

Reservoir Model Maturation and Assisted History Matching Based on Production and 4D Seismic Data

et al. 2014

View full text Add to dashboard Cite

History matching in reservoir modelling is done increasingly with the help of (semi-) automated computer techniques, such as design of experiments (DoE), Ensemble Kalman Filtering or the adjoint-based techniques. Although such techniques will lead to accelerated estimation of the values of reservoir model parameters, they will not, by themselves, solve the often occurring problem of conceptual reservoir model inadequacies (missing faults, unidentified aquifers, etc.).Over the past years, we have developed a technique called "Model Maturation", where we use an adjoint-based history match to flag such inadequacies, and subsequently address those in an interdisciplinary dialogue (between reservoir engineer, geologist, petrophysicist, and geophysicist). Such a forced history match is not limited to production data, but can also include data from 4D seismic, saturation logs and RFT measurements. The "matured" reservoir model is subsequently subjected to a standard Assisted History Match (AHM) using, for example, DoE to optimize the values of the revised set of reservoir parameters.In this paper, we present a number of field cases, out of more than twenty worldwide by now, where we have successfully applied abovementioned workflow, thereby significantly improving the reservoir models in question, which in turn has a direct impact on the business decisions depending on those models.

show abstract

Section: D Seismic History Matchingmentioning

confidence: 99%

Reservoir Model Maturation and Assisted History Matching Based on Production and 4D Seismic Data

et al. 2014

View full text Add to dashboard Cite

show abstract

‘LOSC’ Simulation: A Key to Introduce Heterogeneities in Turbidite Channel Complexes (Offshore Congo)

Gaillot

Labourdette

Bez

et al. 2013

Day 1 Mon, September 30, 2013

View full text Add to dashboard Cite

Hydrocarbon-bearing turbidite reservoirs are complex features, and their description needs to take into account heterogeneities at seismic and sub-seismic scales. The morphology and internal distribution of elementary channels are dependent on depositional setting, which controls the distribution of the main heterogeneities. The internal architecture of a channel complex is composed of multiple individual (elementary) channel stacks formed during repeated erosion/deposition cycles. A turbidite channel is not a simple funnel transporting sand to deep-sea areas but also may preserve slumps, collapse breccias and internal levees on its borders, resulting in the formation of internal heterogeneities (below seismic resolution). The sideways and down-dip movements of elementary channels in turbidite complexes show two typical patterns: lateral migration and vertical stacking. The spatial distribution of heterogeneities at the elementary channel margin is therefore constrained by the different channel patterns. Seismic data only display the outside geometry of channel lateral stack, i.e. a turbidite fairway. Complexes of Laterally Offset Stacked Turbidite Channels (LOSCs) require a description based on the scale of individual channel bodies. The most common representation of channels in a fairway is by stochastic object modeling; i.e. populating the observed fairway with realistic forms representing individual channels, but with no established consistency between the individual channels. Furthermore, one essential characteristic of LOSCs is that they evolve by progressive migration laterally and/or down-dip. Stochastic object modeling provides an inadequate representation of this progressive evolution, and consequently a poor rendering of the heterogeneity distribution in the reservoir. The methodology we propose consists of defining a realistic succession of individual channels that can accurately build the fairway observed on seismic. ‘Realism’ is defined using criteria from the shape of individual channels, and based on the amount of displacement necessary between successive episodes based on seismic interpretation. This workflow, based on geometrical modeling, is illustrated using distinct Oligo-Miocene reservoirs from offshore Congo. The final result is a deterministic succession of channels laterally stacked to reproduce the envelope and lateral migration observed on seismic. Associated heterogeneities are integrated into the reservoir models using transmissibility multipliers, calibrated to match DST results and then applied to the entire models. The resulting architecture respects the natural architecture of the complex and provides a better simulation of flow pathways than that achieved by random object modeling. In the context of a pre-development initial reservoir model, the main interest of this method is to provide much more realistic long-term recovery factors for such complex reservoirs.

show abstract

Integration of 4D Seismic Monitoring Results as History Match Indicators for Reservoir Simulation

Cited by 2 publications

References 6 publications

Reservoir Model Maturation and Assisted History Matching Based on Production and 4D Seismic Data

Reservoir Model Maturation and Assisted History Matching Based on Production and 4D Seismic Data

‘LOSC’ Simulation: A Key to Introduce Heterogeneities in Turbidite Channel Complexes (Offshore Congo)

Contact Info

Product

Resources

About