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Energy & Utilities
Abu Dhabi Water &
Electricity Company

Product: @RISK
Application: Demand Forecasting
Įguas do Douro e Paiva
Product: @RISK
Application: Cost Reduction
BC Hydro
Product: @RISK
Application: Project Analysis
Bigen Africa
Product: @RISK
Application: Demand and Cost Forecasting
Blade Energy
Product: @RISK
Application: Drilling Productivity
Cinergy
Product: @RISK
Application: Acquisitions Analysis
Cranfield University
Product: @RISK
Application: Equipment Reliability
Det Norske Veritas (DNV)
Product: @RISK
Application: ROI of Different Projects
ECN
Product: @RISK
Application: Financial analysis of offshore wind farms
Enex
Product: DecisionTools Suite
Application: Project Planning
Fluor Corporation
Product: @RISK
Application: Oil and Gas Estimating
Futuremetrics
Product: @RISK
Application: Price Hedging
Grupo ISA
Product: @RISK
Application: Investment Analysis
Hydroelectric Power in Colombia
Product: @RISK
Application: Cost estimation
IHS Energy Group
Product: @RISK Developer Kit
Application: Exploration, Drilling, and Production Analysis
Metaproject
Product: @RISK, PrecisionTree
Application: Rescue Operations
Northern Indiana
Public Service Company

Product: @RISK, Evolver, RISKOptimizer
Application: Pricing, Production Allocation for Regulation Compliance
Petrobras
Product: @RISK
Application: Exploration & Production
RiskAdvisory
Product: @RISK Developer Kit
Application: Energy Production and Pricing
Sark7
Product: Decision Tools Suite (@RISK, Precision Tree and Evolver)
Application: Optimising the business case for sustainable energy projects
Tioga Energy
Product: @RISK
Application: Solar energy savings
Transelectrica
Product: @RISK
Application: Measuring and Mitigating Open Market Risk

SEE ALSO: INDUSTRY MODELS
» Oil & Gas Models


Blade Energy Uses @RISK to Save on Drilling

Historic images of gushers make oil drilling look easy. But in today’s industry getting oil and gas safely and efficiently to the surface is a significant challenge. Rock formations can make drilling difficult, and oil seldom flows as expected.

Advanced drilling and extraction techniques are sometimes needed to optimize well efficiency. Drilling companies need to decide when and where to use these techniques.

Blade Energy in Frisco, TX, has developed a statistical analysis tool called “Under Balanced Drilling Productivity Improvement Estimator” (UBD PIE) that can estimate productivity improvements for underbalanced drilling. This tool uses data collected over years and a Bayesian algorithm to forecast the benefits of advanced techniques. UBD PIE is an Excel based application program that uses @RISK’s probability distributions and Monte Carlo simulation capability as its prediction/estimation engine.

“Our clients see the value of underbalanced drilling not only in productivity improvement but also in reservoir characterization”, says Shaikh Rahman of Blade Energy. He adds, “@RISK’s strong statistical capability has made UBD PIE robust.”

Blade Energy Partners was founded on a shared vision to provide the highest quality engineering solutions to complex problems in the energy industry. The company focuses on resolving challenging projects in a safe and cost-effective manner through intelligent application of innovative technologies. Specialties include UBD feasibilities, UBD design and implementation, and Critical Well Design.

For more information on Blade Energy Partners or to learn more about the UBD PIE tool, go to http://www.blade-energy.com/ or call 972-712-8407.

» @RISK
» Blade Energy



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