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Oil & Gas

‘Energy Transition’ and ‘Peak Oil Demand’ are popular terms today, not without some validity.  Yet, oil demand is approaching 104 MMbbl/d.  Global production declines at an average annual rate of 5+%, and large volumes flow from aging fields discovered decades ago.  For unconventional oil fields, initial decline rates approach 40%.  Gas demand (currently ~400 bcf/d) is forecast to grow at a faster rate than oil, with the proliferation of Liquefied Natural Gas (LNG) and global trend towards electrification.  Recent geopolitical events emphasize the importance of energy security. 

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To avoid an energy supply crisis and associated 'sticker shock', we must continue oil & gas investment.  This means exploration.  This especially means maximizing recovery from existing fields – using detailed geologic interpretation, and implementation of improved/enhanced recovery methods.  Average recovery factor for oilfields worldwide is <30%.  We can do better!  

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Successive stages of project maturation require different skills and competencies –  

  • Opportunity Screening

  • Feasibility Studies

  • Field (Re-)Development Planning

  • Execution, Monitoring and Adaptation

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It may not be practical for firms to maintain all technical capabilities full-time. 

 

APEX Subsurface Consulting can help!

The founder has experience in all phases of the upstream O&G value chain

  

The founder is well-connected in professional organizations such as the American Association of Petroleum Geologists (AAPG), and the Society of Petroleum Engineers (SPE) … with a network that includes top-notch expertise in geoscience, reservoir engineering, drilling, production technology, facilities and more.  Access to sophisticated software solutions through cloud computing and Software-as-a-Service (SaaS) helps us deliver advanced solutions in a cost-effective manner.

Top - Bottom: Steepbank River AB (Alberta Oil Sands), Book Cliffs UT (deltaic deposits), Zion NP UT (eolian deposits)

Talks and Presentations

Clients' Subsurface Needs

 

  • Feasibility studies drawing on collective industry experience and relevant analogs

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

  • Flow rate forecasts for production/injection, based on detailed understanding of reservoir architecture and permeability networks

  • Recommendations to optimize development scheme, well count and well placement based on robust economics (NPV/IRR with sensitivities)

The Offering

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✅     Feasibility studies

✅     Competitive intelligence

✅     Regional and local opportunity screening for                     new business development

✅     Subsurface input for Front-End Engineering and             Design (FEED), interpretation and/or modeling                 prior to project sanction

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

Adding 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 - gross rock volume (GRV), porosity, saturation, permeability distribution, geomechanical properties, fluid properties, etc. 

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Simple 2D mapping may progress to detailed 3D modeling as uncertainty analyses warrant.

Modeling

 

If first-pass forecasts and economics 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 both static (geologic) modeling and dynamic simulation, at full-field or sector scales. 

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Model output feeds directly into cash flows and economic forecasting.  The founder of APEX Subsurface led an initiative related to model streamlining at a 'supermajor' energy firm, focused on uncertainty reduction and development optimization. 

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