Enhanced Advanced Reservoir Quality (EARQ)

Future Geoscience Nodding Donkey

EARQ in Future Geoscience includes enhanced integration of old school expertise and methods with modern approaches and numeric modelling in reservoir studies

Future Geoscience advanced reservoir quality services combine all advanced mineral analysis including XRD, FTIR, MLR, QEMSCAN, Rama with traditional analytical techniques, petrography , SEM/BSE, XRF/ICP and wireline log analysis.

We are proud of the compatibility of our techniques which accepts any sample types from thin sections, core pieces, cuttings, rock samples and other materials to analysis in high standard methodology.

Future Geoscience can offer a wide range of techniques, resolutions and capabilities to meet our client’s requirement. The techniques in house include:

  • Inductively Coupled Plasma
    • Optical Emission Spectroscopy (ICP-OES)
    • Mass Spectroscopy (ICP-MS)
  • X-Ray Fluorescence (XRF)
  • Isotope Mass Spectroscopy
  • Fourier Transform Infra-Red (FTIR)
  • X-Ray Diffraction (XRD)
  • Magnetic Susceptibility
  • Scanning Electron Microscope (SEM/BSE)
  • Quantitative Applied Mineralogy Techniques

Future Geoscience workflow in EARQ

  • Core description (any rock type) for sedimentology and/or fractures
  • Extrapolation to and interpretation of wireline and image logs (CPI)
  • Full range of petrographic services
  • Integration petrography with biostratigraphy and chemostratigraphy
  • Depositional and diagenetic/porosity history modelling
  • Integration with seismic interpretations (where these are provided)
  • Regional and reservoir scale correlation interpretation
  • Heavy mineral & Detrital zircon analysis
  • Clastic provenance Interpretation
  • Source to sink, provenance & regional facies modelling
  • Chemostratigraphy and sand characterisation
  • Log integration and correlation
  • Core logging and facies interpretations
  • In-house petrophysics (for lithology and porosity)
  • LogsStrat Interpretation and Integration (e.g. Xana-1X work)
  • Well based GDE maps with structural input – J sequence time slices
  • Log correlation
  • Petrology and SEM work
  • Aiming for a significantly improve stratigraphic resolution esp. in the HPHT sections
  • Final reporting and data delivery (IGD digital data for imports)

Chemostrat Ltd has also established a work programme to integrate elemental and mineralogical data with petrophysical parameters to enhance reservoir quality modelling.  For example, elemental data can also be used to calculate mineralogy and provide an estimate of TOC and proxy for relative brittleness (RBI) that following calibration ensures elemental data can be multipurpose, practical and more cost effective as a means of modelling which is critical for well completions in shale plays.  Elemental data can also be used to refine the petrophysical modelling in carbonate plays detecting subtle variations in dolomite, anhydrite or salt that can hold the key to reservoir quality.  Furthermore, mineral abundances can be measured from elemental data in turbo-drilled cuttings where textural mineralogical characteristics have been destroyed by the drilling process.

The study of provenance within Chemostrat Ltd is handled by our specialised Sandtrak team. Sandtrak utilises various analytical techniques and the latest statistical and data treatment techniques to aid in the establishment of the provenance of a range of clastic sediments. These techniques include; high resolution heavy mineral analysis, high resolution sandstone petrography, zircon geochronology, feldspar geochemistry and other single-grain varietal studies, with these techniques being routinely integrated with the full inorganic element data suite acquired via ICP-OES/MS and with chemostratigraphic correlations produced from this data.

We integrate our provenance data with the stratigraphic framework of the study area and other contextual information available in order to develop an understanding of the spatial variations of intervals and provide a succinct provenance interpretation for each individual study.

The shale gas revolution has only served to highlight the need to increase the understanding of shale composition and physical proprieties to improve exploration, drilling and production.  Chemostrat is demonstrating the value of elemental data in shale resource applications, and our new service matrix can be applied to provide a bespoke shale service work programme that can be applicable to exploration, geosteering and completions optimisation. This work programme can be adapted for basin scale and involves chemostratigraphic and isotopic correlation, elemental mapping of anoxia, organic preservation, and terrigeneous input in conjunction with TOC and XRD data for basin evaluation.  Furthermore, the acquisition of real time chemostratigraphic data at well-site can be employed to aid geosteering and the optimisation of field development with improved planning of targeted lateral wells.