Lead Reservoir Engineer

The Lead Reservoir Engineer will carry out reservoir design, fracture modeling, diagnostics design and reservoir parameter testing with a focus on delivering required reservoir characteristics for Enhanced Geothermal Systems (EGS) development. This role is responsible for working within the Resource & Operations team to transform analytical reservoir models into field-executable reservoir design concepts. This role will evaluate reservoir modeling and lead efforts to test the uncertainties in those models.

This role will work closely with drilling, completions, power plant design, and exploration geology.

Reservoir Engineering Ownership

• Lead reservoir simulations to evaluate design scenarios, completions hardware and power plant design criteria.
• Advise Resource & Operations teams on the design and objectives of diagnostic programs, including pressure transient tests, interference tests, DFITs, step-rate tests, and completion step-down tests.
• Independently review and interpret pressure, rate, and temperature data to assess reservoir properties, fracture behavior, and well performance.
• Evaluate crossflow behavior, injector–producer connectivity, and reservoir compartmentalization to inform development strategy.
• Provide guidance on lateral rate distribution and zonal performance diagnostics (e.g., PLT/DTS/DAS, tracer programs).
• Review completion step-down tests, injection/falloff programs, and stimulation diagnostics to assess near-wellbore and fracture performance.
• Support resource assessment work teams in prospect screening, reservoir characterization, and early-stage risk assessment.
• Provide input on location selection and wellbore targeting based on structural, thermal, and permeability models.
• Define minimum viable data acquisition strategies to evaluate new prospects efficiently and reduce uncertainty.
• Deliver clear technical recommendations to asset teams to guide optimization, stimulation strategy, and injection management.
• Promote consistent diagnostic standards and interpretation methodologies across projects.
• Partner with D&C to refine stage design, cluster efficiency, and stimulation strategy based on observed performance.
• Integrate diagnostic findings into reservoir models and development plans.

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