The Minister of Energy and Industry H E Dr Mohammed bin Saleh Al Sada speaking at the opening of the 9th International Conference on Neural Information Processing in Doha yesterday. Abdul Basit
BY RAYNALD C RIVERA
DOHA: Qatar is committed to ensure a knowledge based economy and post-hydrocarbon prosperity through diversification of industries, investment in education and research and collaboration with international organisations, the Minister of Energy and Industry and Chairman of Qatar Petroleum, H E Dr Mohammed bin Saleh Al Sada, has said.
Dr Al Sada was speaking at the opening of the four-day 19th International Conference on Neural Information Processing (ICONIP) yesterday at the Renaissance Doha City Centre Hotel.
Qatar is the first Arab country to host the annual conference of the Asia Pacific Neural Network Assembly (APNNA) which welcomes distinguished scholars in the field of neural networks.
Part of its plans as an oil and gas producing nation under the wise leadership of the Emir HH Sheikh Hamad bin Khalifa Al Thani, the Minister said “Qatar is committed to ensure its post-hydrocarbon prosperity through development and diversification of industries into a knowledge-based economy.”
“In line with this strategy Qatar is investing on education, technology, scientific research. Qatar is also forging partnerships with international organisations paving way to developing a knowledge-based society,” he told hundreds of people in attendance.
Opportunities for scientific collaboration and exchange such as ICONIP, he stressed are a part of the country’s exciting future.
He lauded ICONIP for having paved the way to advances in many fields since its inception in 1994.
Artificial neural networks, a biologically inspired computing methodology, have the ability to learn by imitating the learning method used in the human brain.
The minister said over the years, neural networks applications have led to remarkable advancement on various sectors such as financial, medicine, manufacturing and engineering.
He stressed the useful application of neural networks in important fields especially on oil and gas exploration and determining reservoir properties from well logs.
Neural networks’ uses in the energy industry include interpreting logs, diagnosing and prescribing remedies for stuck drill pipes, locating mineral deposits, configuring seismic processing runs, selecting optimal drilling mud, identifying the causes of chemical spills and recommending action, selection and design of Enhanced Oil and Recovery (EOR) processes, well stimulation, testing and logging and prediction of fluid properties.
“Texas A&M at Qatar is honoured to help bring this important conference to Doha. As Qatar moves toward becoming a knowledge-based economy, dialogues such as ICONIP become even more important to growth as they help academics and industry practitioners come together to solve tomorrow’s problems with these new techniques,” said Dr Mark Weichold, Texas A&M at Qatar dean and CEO and conference chair.
Scholars from 60 countries submitted nearly 700 papers for presentation at the event. In addition to nearly 320 oral presentations and 100 poster presentations, the program includes about 30 keynotes, plenary and invited speeches and two panels.