Risk investment for quicker, cheaper drilling

The development of a new innovative drill bit could change the way in which oil and gas exploration and production takes place, thanks to support from NESTA (the National Endowment for Science, Technology and the Arts).

Bristol-based Meciria have received a £300,000 investment from NESTA and Oxford Technology VCT.

Directional drilling, or targeting a particular area to avoid difficult drilling conditions, can be undertaken by one of two methods, positive displacement motor (PDM) and rotary steerable tool (RST).

Although PDM is the cheaper and more reliable of the two options, RST is twice as fast. Meciria has worked on developing the design of the RST for increased reliability and decreased operating costs.

Richard Hutton, Chief Executive of Meciria, explains more:
“The investment from NESTA and Oxford Technology will enable Meciria to further develop its innovative rotary steerable drilling tool. This technology will enable oil companies to drill quicker and further to reach the hydrocarbon reserves while reducing rig operating and redeployment costs and risks. Meciria is delighted to have the investment and active support from both Oxford Technology and NESTA.”

Mark White, Director of Invention and Innovation at NESTA said:
“Meciria’s design of the rotary steerable tool drill bit is a welcome burst of engineering innovation in this burgeoning market. By supporting Meciria’s product at this early stage in its development, NESTA are ensuring that innovations in this industry have every chance of being fully commercialised in the UK.”

Media Contact

Joseph Meaney alfa

More Information:

http://www.nesta.org.uk

All latest news from the category: Business and Finance

This area provides up-to-date and interesting developments from the world of business, economics and finance.

A wealth of information is available on topics ranging from stock markets, consumer climate, labor market policies, bond markets, foreign trade and interest rate trends to stock exchange news and economic forecasts.

Back to home

Comments (0)

Write a comment

Newest articles

Machine learning algorithm reveals long-theorized glass phase in crystal

Scientists have found evidence of an elusive, glassy phase of matter that emerges when a crystal’s perfect internal pattern is disrupted. X-ray technology and machine learning converge to shed light…

Mapping plant functional diversity from space

HKU ecologists revolutionize ecosystem monitoring with novel field-satellite integration. An international team of researchers, led by Professor Jin WU from the School of Biological Sciences at The University of Hong…

Inverters with constant full load capability

…enable an increase in the performance of electric drives. Overheating components significantly limit the performance of drivetrains in electric vehicles. Inverters in particular are subject to a high thermal load,…

Partners & Sponsors