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Join Jim Hall of Shell Int'l E&P as he discusses the impact of consumer and supplier demands on the rate of technology evolution. Explore the Technology Investment Challenge and the Technology Maturity Curve, tracing the development of Gas Lift technology through its waves of innovation. From Mechanical Valves to Self-Optimising Systems, discover how to strategically invest in new technology for profitable results with minimized risk.
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New TechnologyOpening Remarks Jim Hall – Shell Int’l E&P 21 October, 2003 ASME/API/ISO Gas-Lift Workshop
What controls the rate of technology evolution? • Consumer • Can we improve our profitability by developing/ applying new technology? • If no, then there is no demand for new technology. • If yes, then what level of investment will be required to produce acceptable improvement?
What controls the rate of technology evolution? • Supplier • Can we improve our profitability by developing/ supplying new technology? • If no, then there is no demand for new technology. • If yes, then what level of investment will be required to produce acceptable improvement?
Technology Investment Challenge • How to • invest in technology development • in areas where the investment • stands a high probability • of producing profitable results • with minimum risk • of losing the investment.
Technology Maturity Curve Aging Mature Cumulative Effort Growth Embryonic Cumulative Time
Technology Maturity Curve - funding ¢ ¢ ¢ Tin Cup $ $ $ Cumulative Effort $ $ $ $ Cumulative Time
Gas Lift – 1st Wave The End? Mechanical Valves Foot-pieces Single-point Air lift Mineshaft Airlift 1800’s 1797 Early 1900’s
King Valve Gas Lift – 2nd Wave The End? Surface Control Venturi Orifice Automatic Validation Testing Orienting SPMs Real-Time Optimisation Side-Pocket Mandrels NodalSM Analysis Balanced Valves Valve Performance PPO Valves Multiphase Flow IPO Valves Mechanical Valves Early 1900’s Late 1900’s 2000 ?
Gas Lift – 3rd Wave ? The End ? or another beginning? Infinitely Variable Injection Depth Improved Reliability Improved Efficiency Self-Optimising Surface Control Early 2000