The Twister supersonic separator is a unique combination of known physical processes, combining aerodynamics, thermodynamics and fluid dynamics to produce an innovative gas conditioning process. Condensation and separation at supersonic velocity is the key for achieving a significant reduction in both capital and operating cost. Twister is a proven gas conditioning technology. Condensation and ...

1.1 Historical background In a historical perspective, biogas has been produced since the second half of the 19th century. India and China were among the pioneering countries, where biogas produced from manure and kitchen waste for long time has been used as a fuel for gas cookers and lamps. In Sweden, biogas has been produced at municipal waste water treatment plants since the 1960’s. The prim...

The main challenge facing the oil industry is to reduce development costs while accelerating recovery with maximizing reserves. One of the key enabling technologies in this area is intelligent well completions. Intelligent well technology (IWT) is a relatively new technology that has been adopted by many operators in recent years to improve oil and gas recovery. Intelligent well completions emp...

Since natural gas reserves in North America and Europe are declining, energy companies there can no longer create value by just drilling more wells; they must create value by better managing their current production assets, and by better leveraging technology. In this paper, we analyze the real option to pause production from a well (better management) along with the real option to scale produc...

In this paper, we discuss potential developments of the world natural gas industry at the horizon of 2030. We use the World Gas Model (WGM), a dynamic, strategic representation of world natural gas production, trade, and consumption between 2005 and 2030. We specify a “base case” which defines the business-as-usual assumptions based on forecasts of the world energy markets. We then analyze the ...

Predicting the Hydrate Stability Zones of Natural Gases Using Artificial Neural Networks — A feed-forward artificial neural network with 19 input variables (temperature, gas hydrate structure, gas composition and inhibitor concentration in aqueous phase) and 35 neurons in single hidden layer has been developed for estimating hydrate dissociation pressures of natural gases in the presence/absenc...