Technical Advantage

Instead of relying primarily on backward-looking decline-based approaches and trends, GPT models reservoir pressure behavior directly to generate faster, more technically defensible forecasts.

Decision Value

By linking pressure behavior, flow response, and engineered well design, Gaussian helps operators evaluate production performance, completion effectiveness, and development options earlier in the asset life cycle.

The Industry Limitation

Operators need forecast confidence before they commit to drilling, completion, reserves, and capital. Traditional production forecasting methods such as Arps and other decline-curve approaches remain widely used because they are simple and familiar, but they are fundamentally limited.

Empirical dependence

  • Arps and traditional DCA are backward-looking and rely heavily on production history and analog assumptions.

Physics enters late

  • Pressure behavior, fracture interference, and completion effects are not directly captured by simple decline trends.

Screening speed gap

  • Full-field simulation is powerful but can be too data-intensive and slow for early portfolio decisions.

6-18 months

  • Traditional workflows need long production histories for reliable long-term forecasts; operator decisions often cannot wait that long.

Limited adaptability

  • Have difficulty adapting when completion designs, play conditions, or the quality of analogs change.

The Gaussian Solution

GPT connects pressure behavior, flow response, and engineered well design in a single analytical framework.

  • Solves pressure-transient behavior caused by production or injection
  • Uses closed-form, gridless analytical solutions for fast iteration
  • Computes pressure gradients, drained volume, rates, and cumulative production
  • Estimates fracture dimensions and effectiveness from field data
  • Supports P90/P50/P10 forecasts and scenario comparison

The result is a direct connection between reservoir behavior, completion design, and forecasted performance.

What Makes Gaussian Different

The difference is not only speed. It is a different technical basis for forecasting and asset evaluation.

Legacy workflows

  • Backward-looking curve fitting
  • Dependent on production history and analogs
  • Weak visibility into pressure and fracture effects
  • Full simulation can be slow for screening
  • Single-case results can hide uncertainty

Gaussian technology

  • Pressure-transient physics modeled directly
  • Validated with as little as 30 days of production data
  • Fast, gridless analytical solutions
  • Fractured/unfractured, bounded/unbounded, production/injection cases
  • Explicit P90/P50/P10 uncertainty and scenario comparison
  • Represents constant bottomhole-pressure operation and artificial lift
  • Models pressure interaction among multiple fractures and wells
  • Represents isotropic and anisotropic diffusivity behavior

Using Gaussian technology results in earlier forecasts, stronger technical defensibility, and clearer links between subsurface behavior and business decisions.

Where Gaussian Creates Value

Earlier Forecasting

Predict production before wells are drilled and accelerate development planning

Better Decision-Making

Evaluate reservoir and development options with greater confidence

Faster Validation

Quickly validate forecasts using limited production data

Stronger Planning & Reserves

Improve reserve estimates, asset valuation, and field development planning


Applications

Gaussian technology is relevant across a wide range of subsurface energy and fluid-flow applications, including:

  • Unconventional oil and gas wells 
  • Conventional reservoirs 
  • Hydraulically fractured horizontal wells 
  • Vertical wells 
  • Injection wells 
  • Pressure-supported and bounded reservoir systems 
  • Water production 
  • Geothermal applications 
  • Fluid disposal and storage studies 
  • Carbon and gas storage screening contexts

It is especially valuable when clients need to:

  • Evaluate wells earlier 
  • Screen undeveloped locations 
  • Compare completion strategies 
  • Understand fracture-spacing effects 
  • Improve confidence in forecasts 
  • Support reserve or development planning with stronger technical backing 
  • Bridge technical analysis and business decisions more effectively