Processing and Preliminary Interpretation of the Ultra High-Density Full-Azimuth 3D Seismic Survey, Dukhan Field, Qatar

Seeni, Salvarajeh; Setiyono, K.; Zaky, Hala; Snow, John T.; Weber, L. James

doi:10.2523/17533-ms

Cited by 2 publications

(1 citation statement)

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“…In 2007, Qatar Petroleum (QP) invested in a new full-field, land and shallow-water 3D seismic survey of the area. Seeni et al, 2013, describe in detail the context, parameters and results of the survey.…”

Section: Introductionmentioning

confidence: 99%

Near Surface Velocity Model of Dukhan Field from Multi-Physics Survey to Enhance PSDM Seismic Imaging

Setiyono

Gallo

Boulange

et al. 2015

Day 2 Mon, December 07, 2015

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Dukhan Field affords an opportunity to assess alternative near surface velocity modeling workflows that specifically integrate Microgravity (MGR) and Vertical Electrical Sounding (VES). A pilot study of the Dukhan seismic data demonstrates that integration of MGR/VES into Pre-Stack Depth Migration (PSDM) improves the fidelity of seismic images and results in an improved depth match.In many giant carbonate reservoirs, variations in surface and near surface geology result in velocity issues that are not necessarily corrected by standard seismic data processing workflows. A novel approach integrates MGR and VES inversion into processing workflows. Initial calibration and testing of MGR/ VES data were computed on a pilot area (165 sq.km) at Dukhan which improved the near surface geological model between the surface and the first observed seismic reflector -Simsima Formation. Processing sequences utilizing microgravity and resistivity inversion resulted in a new velocity model. Combined with structural information, the VES resistivity model constrained the gravity inversion in depth. Gardner and Faust equations facilitated building the final near surface velocity model.The resultant MGR/VES PSDM pilot model improved the velocity model between the surface and top Simsima Formation based on 1) visible impact on the deeper structure obtained from imaging and 2) better fit between the seismic depth horizons and well measured depths. Based on the results of this study, QP acquired MGR/VES data over the entire Dukhan survey area and will utilize these data in any future PSDM full-field processing. Other giant carbonate reservoirs may benefit from utilizing this workflow to further refine and enhance seismic imaging.

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Section: Introductionmentioning

confidence: 99%

Near Surface Velocity Model of Dukhan Field from Multi-Physics Survey to Enhance PSDM Seismic Imaging

Setiyono

Gallo

Boulange

et al. 2015

Day 2 Mon, December 07, 2015

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Tapping the Difficult Oil and Enhancing Reservoir Development Strategy to Maximize Recovery From a Matured Waterflood Giant Carbonate Field in The Middle East: Arab C Reservoir Dukhan Field, State of Qatar

Majid

Troconiz

Al-Shafei

et al. 2015

Day 4 Wed, December 09, 2015

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After 70 years of production, more than 30% of the Arab C STOOIP has been recovered through various mechanisms including natural depletion, water flooding, gas-lift implementation and horizontal well development. Extending production into future years requires a strategic approach, focusing on innovative development optimization in order to target the remaining oil saturation. An aggressive drilling and intervention programme is ongoing to tap into the remaining oil. In addition to coupling evergreen reservoir models and flood-front surveillance, enhanced waterflood and CO2 WAG hold the greatest strategic potential to maximize recovery. Integration of a recently acquired, high-resolution 3D seismic survey complements the data available for subsurface description and characterization, positively impacting reservoir model history matching metrics. Utilizing the models to set appropriate production and injection targets and vice versa adjusting the models to new data acquired in the field maintains a tight coupling between our models and surveillance monitoring. The evergreen models facilitate optimization of infill drilling locations targeting bypassed/remaining oil for sweep improvements. Surveillance monitoring of flood-front encroachment and pressure behavior indicates that the permeable and connected beach and shoal lime grainstones of the Lower Arab C are sweeping according to simulation predictions. Conversely, the Upper Arab C exhibits a less favorable waterflooding potential due to the thin-bedded (1-2ft) grain- and mud-prone peritidal deposits that maintain significant lateral and vertical permeability contrasts. Sensitivity tests in our high-resolution full-field models support the addition of a line drive pattern to the existing peripheral waterflood for the Upper Arab C. CO2 WAG has also been identified and tested in the model as a potential EOR mechanism to improve recovery. Engineering studies are underway to develop the infrastructural requirements for a CO2 pilot. It is envisaged that the combined development strategy of both enhanced waterflood and CO2 EOR will greatly assist in producing the difficult oil and maximizing recovery in the process.

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Processing and Preliminary Interpretation of the Ultra High-Density Full-Azimuth 3D Seismic Survey, Dukhan Field, Qatar

Cited by 2 publications

References 0 publications

Near Surface Velocity Model of Dukhan Field from Multi-Physics Survey to Enhance PSDM Seismic Imaging

Near Surface Velocity Model of Dukhan Field from Multi-Physics Survey to Enhance PSDM Seismic Imaging

Tapping the Difficult Oil and Enhancing Reservoir Development Strategy to Maximize Recovery From a Matured Waterflood Giant Carbonate Field in The Middle East: Arab C Reservoir Dukhan Field, State of Qatar

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