Closing the Loop Using Engineering-consistent 4D Seismic Inversion

Tian, S.; MacBeth, Colin; Shams, Asghar

doi:10.3997/2214-4609.20132057

Cited by 4 publications

(6 citation statements)

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“…Production gas is reinjected into the top of the reservoir and seawater injected into the flanks almost from the start of production. A complete range of 4D effects are observed due to: gas out of solution, gas injection, pressure increase, pressure depletion and water increase (Tian 2014). There are strong amplitude effects and also large time-shifts of up to 15 ms observed.…”

Section: Field D -Tertiary Sands West Africamentioning

confidence: 99%

Review Paper: Post‐stack 4D seismic time‐shifts: Interpretation and evaluation

MacBeth

Mangriotis

Amini

2018

Geophysical Prospecting

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A review and analysis of post‐stack time‐lapse time‐shifts has been carried out that covers published literature supplemented by in‐house datasets available to the authors. Time‐shift data are classified into those originating from geomechanical effects and those due to fluid saturation changes. From these data, conclusions are drawn regarding the effectiveness of post‐stack time‐shifts for overburden and reservoir monitoring purposes. A variety of field examples are shown that display the range and magnitude of variation for each class of application. The underlying physical mechanisms creating these time‐shifts are then described, and linked to a series of generic and field‐specific rock physics calculations that predict their magnitudes. These calculations serve as a guide for practitioners wishing to utilize this information on their own datasets. Conclusions are drawn regarding the reliability of this attribute for monitoring purposes, and the extent to which further development is required and how it should be reported by authors.

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Section: Field D -Tertiary Sands West Africamentioning

confidence: 99%

Review Paper: Post‐stack 4D seismic time‐shifts: Interpretation and evaluation

MacBeth

Mangriotis

Amini

2018

Geophysical Prospecting

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“…Closing the loop between 4D seismic and reservoir engineering data requires integrated workflows to make sense of the acquired data, of which the key is to update the model in a timely fashion throughout the life cycle of a field (Tian, 2014). By definition, the well2seis technique illustrates how the well production behavior is related to the spatial distribution of 4D seismic signal.…”

Section: Closing the 4d Loop Using Well2seis Interpretationmentioning

confidence: 99%

Enhancement of dynamic reservoir interpretation by correlating multiple 4D seismic monitors to well behavior

et al. 2015

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We have found that dynamic reservoir interpretation can be enhanced by directly correlating the seismic amplitudes from many repeated 4D seismic monitors to the field production and injection history from wells. This "well2seis" crosscorrelation was achieved by defining a linear relationship between the 4D seismic signals and changes in the cumulative fluid volumes at the wells. We also found that the distribution of the well2seis correlation attribute can reveal key reservoir connectivity features, such as the seal of faults, fluid pathways, and communication between neighboring compartments. It can therefore enhance dynamic reservoir description. Based on this enhanced interpretation, we have developed a workflow to close the loop between 4D seismic and reservoir engineering data. First, the reservoir model was directly updated using quantitative information extracted from multiple surveys, by positioning and placing known barriers or conduits to flow. After this process, a seismic-assisted history matching was applied using the well2seis attribute to honor data from the seismic and engineering domains, while remaining consistent with the fault interpretation. Compared to traditional history matching, that attempts to match individual seismic time-lapse amplitudes and production data, our approach used an attribute that condensed available data to effectively enhance the signal. In addition, the approach was observed to improve the history-matching efficiency as well as model predictability. The proposed methodology was applied to a North Sea-field, the production of which was controlled by fault compartmentalization. It successfully detected the communication pathways and sealing property of key faults that are known to be major factors in influencing reservoir development. After history matching, the desired loops were closed by efficiently updating the reservoir simulation model, and this was indicated by a 90% reduction in the misfit errors and 89% lowering of the corresponding uncertainty bounds.

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“…Buland and El Ouair (2006) used the direct inversion of the amplitude differences between the time-aligned base and monitor seismic surveys when obtaining the impedance variations. Tian (2014) coupled the baseline and monitor seismic data in a Bayesian scheme in which the modelling errors are propagated from baseline to monitor to ensure their consistency.…”

Section: Timementioning

confidence: 99%

“…Over the past few years, various methodologies to invert time-lapse seismic data have been proposed. The inversion techniques are either deterministic or probabilistic, and can be classified based on their workflows (Tian, 2014). Abubakar et al (2001), Sarkar et al, (2003) and Calvert (2005) presented 4D inversion as two separate 3D inversions.…”

Section: Introductionmentioning

confidence: 99%

“…It seems that, inverted impedances provide better results than the seismic amplitudes for 4D interpretation, allowing detection of subtle changes in repeatedly acquired seismic data (Ayzenberg et al, 2013). Furthermore, inverted impedance converts the seismic reflectivity into volumetric impedance data that are more suited to cross-domain comparison (Tian et al, 2014). For instance, the advantage of 4D seismic impedance attribute to capture the effect of pressure and saturation variations (with reasonable degree of success) has been highlighted in the Draugen Field (Guderian et al, 2003), UKCS turbidite reservoir (Stephen et al, 2006), Girassol Field (Roggero et al, 2007) and Norne Field (Maleki et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Integration of 3D and 4D seismic impedance into the simulation model to improve reservoir characterization

Maleki¹

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To all my friends in Iran, Norway, Canada and Brazil, I thank their friendship and all the special moments shared together. I acknowledge Statoil (operator of the Norne Field) and its license partners ENI and Petoro for the release of the Norne data. Further, the author acknowledges the Center for Integrated Operations at NTNU for cooperation and coordination of the Norne Cases. The view expressed in this thesis are the views of the author and do not necessarily reflect the views of Statoil and the Norne license partners. This work was carried out in association with the ongoing project registered as ''BG-07: Reduction of Uncertainties through the Incorporation of 4D Seismic Data in the Modeling of the Reservoir" (UNICAMP/BG Brazil/ANP) funded by BG E&P Brazil Ltda (a subsidiary of Shell) under the ANP R&D levy as 'Investment Commitment to Research and Development'.

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Closing the Loop Using Engineering-consistent 4D Seismic Inversion

Cited by 4 publications

References 0 publications

Review Paper: Post‐stack 4D seismic time‐shifts: Interpretation and evaluation

Review Paper: Post‐stack 4D seismic time‐shifts: Interpretation and evaluation

Enhancement of dynamic reservoir interpretation by correlating multiple 4D seismic monitors to well behavior

Integration of 3D and 4D seismic impedance into the simulation model to improve reservoir characterization

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