4D time-lapse monitoring of Chirag Field

Robinson, Nigel; Ford, Alan; Howie, James; Manley, Dominic; Riviere, Martin; Stewart, Simon; Thomas, Rowland

doi:10.1190/1.2056402

Cited by 8 publications

(2 citation statements)

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“…Pereriv B and D are sandstone sheets of high net-to-gross (NTG) ratio (>85%), whereas Pereriv A, C and E have relatively low and laterally variable NTG ratio (0-55%). Seismic imaging has resolved the Pereriv B and D sandstones over much of the ACG Field and constrained both reservoir structure and gross fluid movements in response to production (Bouska & Johnston 2005;Howie et al 2005;Manley et al 2005;Robinson et al 2005). Detailed reservoir architecture is below seismic resolution, but core and wireline-log data suggest that the reservoir consists principally of channel-fill sandbodies in a background of lacustrine mudstones.…”

Section: Introductionmentioning

confidence: 96%

Predicting the impact of sedimentological heterogeneity on gas–oil and water–oil displacements: fluvio-deltaic Pereriv Suite Reservoir, Azeri–Chirag–Gunashli Oilfield, South Caspian Basin

Choi

Jackson

Hampson

et al. 2011

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The Pereriv Suite reservoir in the Azeri culmination of the ACG Oilfield is characterized by laterally continuous layers of variable net-to-gross (NTG) ratio deposited in a channel-dominated, fluvio-deltaic environment. The reservoir is being developed by down-dip water injection, with up-dip gas injection on the more steeply dipping central north flank. We use high-resolution models derived from outcrop analogue and subsurface data to demonstrate that four key sedimentological heterogeneities control recovery in both oil-water and gas-oil displacements: (1) local variations in NTG within low NTG (<55%) layers; (2) the degree of communication between low NTG layers and adjacent high NTG (>85%) layers; (3) sinuosity and (4) stacking pattern of channel-fill sandbodies in low NTG layers. The first three heterogeneities control sandbody connectivity; the fourth controls sweep efficiency in the connected sandbodies. Two further heterogeneities control recovery in gas-oil displacements in high NTG layers: (5) verticalto-horizontal permeability ratio of channel-fill sandbodies and (6) mud clast lags at channel bases. Models which omit these small-scale features predict that sedimentological heterogeneity has little impact on water-oil or gas-oil displacements in high NTG layers, but fail to capture the effect of heterogeneity on the gravity stability of the gas-oil displacement, which significantly impacts on recovery.

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Section: Introductionmentioning

confidence: 96%

Predicting the impact of sedimentological heterogeneity on gas–oil and water–oil displacements: fluvio-deltaic Pereriv Suite Reservoir, Azeri–Chirag–Gunashli Oilfield, South Caspian Basin

Choi

Jackson

Hampson

et al. 2011

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“…地震探査による貯留層性状変化の描出(Robinson et. al., 2005) 青色が原油の生産による貯留層の音響インピーダンスの増加を，赤色が減少を示す。図 12 海域ガス探鉱における海洋電磁探査の適用例(Chakraborty et.…”

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Improvements and challenges in subsurface evaluation brought by the technical advancements in geophysics

Akama¹

2022

J. Petroleum Tech.

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Improvements and challenges in subsurface evaluation brought by the technical advancements in geophysics Kenichi AkamaAbstract： Recent maturity in oil and gas exploration has oriented the interests of the industr y towards geophysically severer geological targets, including deep and complicated structures or high impedance rocks. In addition, more sophisticated reservoir managements have been required to optimize eld developments and suppress operational risks by involving more geophysical measures sensing the subsurface condition. The focuses in technology developments for data processing and analysis therefore include advanced seismic imaging, quantitative interpretation, and reservoir monitoring. Advancements in eld recording technologies, in parallel with the efforts for reducing data volume, deliver more "perfect" seismic data with broader frequency and spatial wavenumber, enabling those new processing and analysis technologies.

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Rock property modelling and sensitivity analysis for hydrocarbon exploration in OSSY field, Niger Delta Basin

Ogbamikhumi

Omorogieva²

2021

J Petrol Explor Prod Technol

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The application of quantitative interpretation techniques for hydrocarbon prospect evaluation from seismic has become so vital. The effective employment of these techniques is dependent on several factors: the quality of the seismic and well data, sparseness of data, the physics of rock, lithological and structural complexity of the field. This study adopts reflection pattern, amplitude versus offset (AVO), Biot–Gassmann fluid substitution and cross-plot models to understand the physics of the reservoir rocks in the field by examining the sensitivity of the basic rock properties; P-wave velocity, S-wave velocity and density, to variation in lithology and fluid types in the pore spaces of reservoirs. This is to ascertain the applicability of quantitative seismic interpretation techniques to explore hydrocarbon prospect in the studied field. The results of reflection pattern and AVO models revealed that the depth of interest is dominated by Class IV AVO sands with a high negative zero offset reflectivity that reduces with offset. The AVO intercept versus gradient plot indicated that both brine and hydrocarbon bearing sands can be discriminated on seismic. Fluid substitution modelling results revealed that the rock properties will favourably respond to variation in oil saturation, but as little as 5% gas presence will result in huge change in the rock properties, which will remain constant upon further increments of gas saturation, thereby making it difficult to differentiate between economical and sub-economical saturations of gas on seismic data. Rock physics cross-plot models revealed separate cluster points typical of shale presence, brine sands and hydrocarbon bearing sands. Thus, the response of the rock properties to the modelling processes adopted favours the application of quantitative interpretation techniques to evaluate hydrocarbon in the field.

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4D time-lapse monitoring of Chirag Field

Cited by 8 publications

References 0 publications

Predicting the impact of sedimentological heterogeneity on gas–oil and water–oil displacements: fluvio-deltaic Pereriv Suite Reservoir, Azeri–Chirag–Gunashli Oilfield, South Caspian Basin

Predicting the impact of sedimentological heterogeneity on gas–oil and water–oil displacements: fluvio-deltaic Pereriv Suite Reservoir, Azeri–Chirag–Gunashli Oilfield, South Caspian Basin

Improvements and challenges in subsurface evaluation brought by the technical advancements in geophysics

Rock property modelling and sensitivity analysis for hydrocarbon exploration in OSSY field, Niger Delta Basin

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