A successful field development requires more than technically sound individual disciplines. It requires those disciplines to operate from a consistent set of assumptions, constraints, and performance objectives.
Our integrated workflow connects subsurface evaluation with process engineering and project delivery, helping teams assess how decisions in one part of the production system affect the others.
Step 1: Subsurface Data Intake & Reservoir Modeling
Understand What the Reservoir Can Deliver.
The development process begins with a structured evaluation of available geological, geophysical, petrophysical, and production information.
Depending on the scope, this may include seismic interpretation, well logs, core data, pressure measurements, fluid analyses, and historical production records.
The objective is to establish a technically defensible representation of reservoir characteristics and expected production behavior.
Key activities may include:
- Reservoir characterization and volumetric assessment.
- Static and dynamic reservoir modeling.
- Production history review and model calibration.
- Forecasting of production rates, pressure decline, and fluid behavior.
- Identification of data gaps, uncertainties, and development constraints.
Outcome: A reservoir development basis that informs production expectations and surface facility design requirements.
Step 2: Surface Facility Definition & Right-Sizing
Design Facilities for the Resource You Actually Have.
Surface facilities must accommodate not only initial production conditions but also expected changes throughout the field's operating life.
Reservoir pressure decline, changing gas composition, condensate production, water handling requirements, and variable flow rates can significantly influence process configuration and equipment selection.
We connect reservoir forecasts with surface engineering requirements to evaluate:
- Wellhead and inlet operating conditions.
- Compression ratios, staging, and future operating envelopes.
- Gas dehydration, sweetening, and hydrocarbon dew-point control requirements.
- LNG feed gas specifications and liquefaction process requirements.
- Power demand, available fuel gas, and potential generation capacity.
- Design flexibility for production variability and future operating scenarios.
For example, where forecasts indicate increasing compression requirements over time, the design can evaluate staged compression or alternative equipment configurations. Where gas composition indicates acid-gas treatment requirements, appropriate treatment systems can be incorporated into the process design basis.
Final configurations are determined through engineering studies and applicable technical requirements.
Outcome: A surface facility concept aligned with forecast production behavior and defined operating requirements.
Step 3: Integrated Engineering, Procurement & Construction
One Coordinated Technical Basis from Design Through Delivery.
Once the development concept is defined, engineering and project execution activities must remain aligned with the assumptions established during reservoir and process evaluation.
Our proposed integrated delivery approach coordinates relevant disciplines across the project lifecycle, subject to the agreed scope and contracting model.
Key activities may include:
- Process engineering and facility design.
- Mechanical, piping, electrical, instrumentation, and control engineering.
- Equipment specifications and procurement planning.
- Long-lead equipment identification and schedule integration.
- Modularization and fabrication strategy development.
- Construction planning and interface coordination.
- Pre-commissioning, commissioning, and start-up planning.
Engineering interfaces between the wellhead, gathering system, processing facilities, compression, LNG, and power generation are addressed as part of the overall system.
Outcome: A coordinated project design and execution basis intended to reduce interface gaps and improve delivery predictability.
Step 4: Performance Feedback & Continuous Optimization
Keep the Engineering Model Connected to Operational Reality.
Reservoir behavior and surface facility performance evolve as operating experience accumulates. Comparing actual results with original assumptions can reveal opportunities to improve forecasts, operating strategies, and equipment utilization.
Where production data and ongoing technical support are available, the optimization process may include:
- Comparing actual production with forecast profiles.
- Reviewing pressure trends, fluid composition, and operating constraints.
- Evaluating compression performance and equipment operating envelopes.
- Reviewing process bottlenecks and energy consumption.
- Updating reservoir forecasts and facility operating assumptions.
- Assessing debottlenecking and future capacity requirements.
Outcome: A structured feedback loop that supports informed operating decisions and future development planning.
The Result: A More Connected Development Strategy
An integrated workflow helps project teams evaluate the entire production chain rather than optimizing each facility or discipline in isolation.
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