Producer Subsurface Needs

• Accurate assessment of in-place volume ranges, with sensitivities for key variables

• Detailed understanding of  permeability architectures that control flow rates for fluid production/injection

• NPV/IRR economics data to optimize development scheme, well count and well placement

The Offering

✅     Regional and local opportunity screening

✅     Subsurface input for Front-End Engineering and             Design (FEED), pre-sanction ... interpretation                   and/or simulation.

✅     Proposals for (re)development later in field life,                i.e. infill drilling and reservoir management  

Value at Every Stage

At early stages of a project, analog studies and competitive intelligence (using collective industry experience) are most cost-effective.  At intermediate stages, data collection and integration come to the fore.  The best-designed data acquisition campaigns are shaped by geoscientists in collaboration with engineers, and reduce high-sensitivity uncertainties with the biggest impact on project value – reservoir rock volume, porosity, permeability distribution, geomechanical properties, fluid content and temperature, etc.  Simple modeling may progress to detailed modeling as uncertainty analyses warrant.

Modeling

If analog and empirical data appear favorable, a significant component of fit-for-purpose reservoir simulation may be required to improve the robustness of project economics across a full range of uncertainty, in greenfield and brownfield (post- first production) settings.  Modeling may entail static (geologic) modeling and dynamic simulation, at full-field or sector scales.  The founder of APEX Subsurface led an initiative related to model streamlining at a major/international O&G producer, focused on uncertainty reduction and development optimization.  Model output feeds directly into cash flows and economic forecasting.