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Analysis of Production Data
Use fast-computing multiphase reservoir models to match the gas and water production rates and flowing pressures. Estimate properties, such as permeability, skin and drainage area, and diagnose problems such as liquid loading, interference and change in operating conditions.
Production and Field Optimization
Forecast well performance using variable bottomhole flowing pressure and skin. Evaluate the benefits of compression, stimulation and infill drilling. Quickly import reservoir properties into IHS Piper to design and optimize your gas-gathering system.
Use multiple tools to estimate the original-gas-in-place (OGIP), expected ultimate recovery (EUR), and recovery factor. Tools include deterministic methods such as volumetrics, static and flowing material balance, as well as traditional decline analyses and probabilistic risk analysis using Monte Carlo simulation.
Utilize analytical and numerical models to characterize a coal bed methane reservoir. For wet CBM (multiphase) reservoirs, use the PSS model. For dry (single-phase gas) CBM reservoirs, use RTA-style analytical models and typecurves specially adapted to account for desorption effects.
Include multiple layers of coal or sand in a model, to match and forecast the per-layer contributions and the overall commingled production rates.
While seeking oil and gas development opportunities in the Rocky Mountains region, this Denver-based company has increased workflow efficiency by using a new platform that displays research based on users' preferences, delivers hours of time-savings each week and enables greater focus on high-level analysis.Learn more about our client’s successes
With thousands of wells operating in 10 U.S. states, this independent oil and gas company has boosted productivity by enabling daily gauging and allowing staff to focus on high-value tasks rather than data management as well as returning well production to peak levels several days faster by decreasing the time for troubleshooting.
One of the world’s largest oilfield service providers enhanced the forecasting accuracy of its oil rig count model from 90 to 97.6 percent, predicted the impact of price changes on customer spending and demand for product lines (by leveraging 3,500 factors) and created a model that predicted the deflation of WTI crude oil prices in late 2014.Learn More About Our Customers Success
This Danish energy firm makes expert use of an IHS tool to meet tight deadlines for project bids -- eliminating the need for hundreds of hours of manual cost-estimation and saving 75% of the time required to ramp up an outside contractor -- while giving decision makers confidence in the estimates’ proven accuracy.Learn more about our client’s successes
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