Fekete F.A.S.T. VirtuWell v3.3.1.31

Ensure wellbores are configured and operated in the most effective manner. Optimize the wellbore for single and multiphase flow with various flow paths and operating conditions. Perform analyses to assess tubing performance, estimate initial deliverability, identify liquid loading, and evaluate the effects of coiled tubing, or the response to compression. Model various operating scenarios and compare the expected rates to determine the most effective strategy.

Fekete F.A.S.T. WellTest v7.6.0.116

F.A.S.T. WellTest is a program that allows you to interpret reservoir flow characteristics and predict future deliver-ability based on well test results. You can analyze draw-down build-up data or injection fall-off data for gas, oil and water wells using both vertical and horizontal well configurations. You can also analyze pressure buildup after perforating or pressure falloff following minifrac tests.

Training videos:

Fekete F.A.S.T. Piper v7.5.24.5

Increase revenue and decrease costs by analyzing the entire system, from reservoir to delivery point!

Quickly model existing, or future gas-gathering systems by defining wellbores, compression, pipeline configuration, and deliverability in a map-based environment. Optimize production by identifying bottlenecks, data inconsistencies, liquid loading, and uplift potential. Run multiple scenarios to determine the effects of infill drilling, compression, and pipeline capacity on economic forecasts.

Getting started: link.

Executive Summary:

Fekete F.A.S.T. CBM v4.7.3.751

Generate reliable forecasts specifically for the unique needs of CBM plays.

Create forecasts and estimate reserves for new or producing CBM plays by calculating original gas-in-place, expected ultimate recovery, and recovery factor by using the deterministic methods of decline, static and flowing material balance, and volumetrics. Employ a variety of analysis methods, including the Agarwal-Gardner typecurve, to properly characterize the CBM play and develop an accurate analytical model. Use probabilistic risk analysis with Monte Carlo simulation to generate the most likely ranges for your estimates.