1. Enter reservoir properties
Add reservoir properties, a well entry plan, and development assumptions to define the base scenario.
What is QuickField?
A rapid greenfield evaluation tool that pairs machine-learning models with reservoir-engineering calculations to deliver P10, P50, and P90 production forecasts and economic assessments in minutes. Designed for use throughout the exploration and appraisal process, particularly when subsurface data are limited, and fast decisions are required.
How does it work?
Build production scenarios and explore the potential of a greenfield asset in 4 quick steps:
2. Build the analog
QuickField enriches user reservoir data with historical production and petrophysical context from its database to build the perfect petrophysical analog and generate the initial forecast.
3. Run calculations
For the created analog QuickField builds ML models that predict field production and generate probabilistic forecast ranges.
4. Optimize
Fine-tune reservoir attributes and well plans to optimize outcomes and compare alternatives.
Who benefits?
Operators
QuickField offers a new perspective on scenario-driven analysis with a rapid, self-service machine-learning solution. Unlike slow, inaccurate type-curve methods or expensive analog-based solutions, QuickField enables accurate forecasting in minutes without requiring any coding. P10/P90 green field production forecasts can be used to scope the dimensions of surface equipment.
Oil Field Services
Capture new business development opportunities and grow your business by rapidly evaluating new reservoirs and adjusting forecasts as new data becomes available. Discover drilling opportunities and make cost-effective decisions with QuickField's easy-to-use forecast scenarios.
Minerals
With QuickField, mineral owners and non-operating investors can quickly forecast future revenue and production, without the inflated prices and impractical terms of legacy providers.
Financial Services
Evaluate Green Field Energy deals confidently in moments, not days or weeks. When competition moves fast, you need to move faster. We empower investors, advisors, and traders to make strategic decisions on potential investments, assess asset value, and evaluate M&A opportunities through advanced data analytics and rapid scenario analysis.
Software Tools Companies
Software tools companies that service the Oil & Gas industry can now expand and complete their offering. This enables reservoir and field development managers, not just petrophysicists, to rapidly screen, compare, and justify projects without the complexity and overhead of traditional integrated platforms.
What is under the hood?
Data Foundation
QuickField has built up a database of historical production and petrophysical characteristics from a vast number of oil and gas fields. This serves as the foundation for the machine learning models. Users can also integrate their own private company data to further train the models for their specific assets.
Well Level Modeling
Rather than using traditional engineering decline-curve and water-cut growth formulas, historical field data is used to train machine-learning models that predict well-level production under specific reservoir conditions. The ML models essentially create "virtual analogs" by using reservoir properties and well plans to generate full field production forecasts.
Scenario Building
The application allows users to create synthetic reservoir models by entering key reservoir properties, such as permeability and viscosity. Users can then build well plans for these synthetic reservoirs, specifying the number, timing, and characteristics of new production wells.
Uncertainty Analysis
QuickField uses Monte Carlo simulation to quantify uncertainty in its production forecasts. Users can specify uncertainty ranges for reservoir properties and run simulations to generate P10, P50, and P90 production profiles—providing a probabilistic view of the outcome.
Contact us for a demo
Jaco Fok
Jaco@Grow.Studio
+31 610973553
QuickField takes an estimated geological resource to a probability distribution of extractable resources.
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