CorrOcean Wins Supply Contract from Vetco Gray

CorrOcean Inc. has been awarded a US $1.1 million contract by Vetco Gray, for the provision of its digital subsea SenCorr PT pressure & temperature, SenCorr PTPT redundant pressure & temperature and SenCorr SEPT combined sand erosion and pressure & temperature sensor systems. The sensors will be deployed on the subsea trees for ChevronTexaco's Lobito-Tomboco development offshore Angola, West Africa. Located in the deepwater block 14, Lobito-Tomboco will be tied back to the compliant tower drilling and production platform being installed for the Benguela -Belize development.

Dave Rees, president of CorrOcean, Inc. in Houston said "This award follows several others to CorrOcean for innovative sensor technology to be deployed on major subsea projects around the world. These have included contracts for subsea corrosion monitoring using our proprietary FSM™ (Field Signature Method) system, for topside sand erosion monitoring and corrosion monitoring using both CorrOcean's unique ER (Electrical Resistance) and FSM™ technologies on topside process pipe work."

Clive Packman, CorrOcean's SenCorr Business Manager in Trondheim, Norway, added "The SenCorr subsea sensor system represents state-of-the-art measurement technology - integrated digital sensors for sand erosion, corrosion, pressure, temperature, and flow force. The sensors are integrated for cost-efficient installation and operation, enabling the operator to have fewer penetrations in the subsea production tree and less interfaces with the subsea control system. The SenCorr range brings the benefits of digital 24 bit A/D data conversion, offering high resolution, most important to their ability to detect small changes.

The specialized sand erosion ER probes directly measure the erosive effect of solids in the flow. For long tie-backs and process systems, sand monitors are crucial tools in minimizing the risk of flowlines or vessels filling with sand. Probe data are combined with CorrOcean's proprietary erosion model to predict erosion in any critical pipe component. Knowing likely sand erosion rates at various flow rates, the operator can also optimize production rates."