Geological Services


  • Build an optimal business frame – including locating exploration and production blocks in the context of regional and local geology, industry activity, reservoir production histories, original and remaining reserves
  • Identify business opportunities; reservoir based Play Fairway maps with Common Risk Segments frame existing and new concepts leading to ranked leads and prospects


  • Build continuous regionally correlated resource plays including CBM and fractured shale plays
  • leverage off the typical, exploration sense, play elements/conventional play analysis but with a much larger regional scope and handle large amounts of data
  • Identify mature organic rich shales by integrating petrophysics and geochemistry. Calibrate TOC and gas content with core measurements and organic geochemistry; correlate petrophysical logs with gas content (total gas = sorbed gas + free gas). Log and seismic data identifies sweet spots characterized by matrix porosity and permeability with coincidental fracture overprint
  • In conjunction with engineering, evaluate gas/oil flow (i.e. diffusivity), calculate/map organic shale footage, organic shale tonnage and in-place volumes/acre
  • A proven concept; a viable pilot; and the ability to predict sweet spots through geology and seismic, would ensure repeatability and operational cost reduction


Provide field development geological support in the form of iterative geological mapping and well review with the geomodelling/simulation loop; resulting in accurate reserves distribution and optimally placed development and step out wells

  • Contribute geological insights, inputs and building blocks to the multidisciplinary team responsible for enhanced or incremental mature field production
  • Achieve incremental production through detailed geological review and mapping, geomodelling and simulation leading to optimally placed new drills and workovers in addition to a waterflood program
  • Enhancement strategies may include studies and pilot projects including chemical injection, upgrades and debottlenecking, as well as step out, flanking exploration wells


  • Derive a play or model schematic from structural and stratigraphic relationships encountered in the wells. The quality of a 3D geological model depends on the thoroughness of the geological concept and objective
  • Derive structural horizons from well tops and/or seismic. An iterative dynamic between geologist/modeler and reservoir engineer determines what reservoir/non-reservoir zones are to be modeled; appropriate grid cell dimensions within those zones and how many cells in the X, Y and Z directions. The number of cells in a model needs to balance geological detail with the number of cells processing and upscaling can handle – without losing the integrity of the original concept and data
  • Well data includes tops sets, raw and computed logs (i.e. Vsh, PHIE, Sw). Petrophysical logs represent hard immutable data for building the model. Computed well data (ie Vsh, PHIE and Sw) are upscaled in the modeling process to match the sample interval dictated by the imposed layering
  • Propagate reservoir properties throughout the model using variograms and various appropriate statistical methods such as krieging. Make a histogram comparison confirming that upscaled parameters in the model cells match the parameter distribution seen in well logs and the upscaled cells confirming properties have been correctly propagated throughout
  • Upon completion of the model it is essential to check back or compare the model to the original concept. This is done not only by using a property distribution match but also a visual check of the orientation of beds and surfaces – by comparing sections through the model to preliminary sections and maps in the 2D world
  • Once a satisfactory static model is built and checked, it is ready for dynamic simulation and iterative scenarios between the static and dynamic.