The underlying Sim-Stack technology received a designation as a STAR initiative from BSEE, being one of the industry’s best available and safest technologies.
HOUSTON , Jan. 22, 2019 /PRNewswire/ -- Diamond Offshore Drilling, Inc. (NYSE: DO) announced today that it will issue a press release and host a conference call and webcast related to its fourth quarter 2018 operating results on Monday, February 11, 2019 .
HOUSTON , Oct. 16, 2018 /PRNewswire/ -- Diamond Offshore Drilling, Inc. (NYSE: DO) announced today that it will issue a press release and host a conference call and webcast related to its third quarter 2018 operating results on Monday, November 5, 2018 .
HOUSTON , July 10, 2018 /PRNewswire/ -- Diamond Offshore Drilling, Inc. ( NYSE: DO ) announced today that it will issue a press release and host a conference call and webcast related to its second quarter 2018 operating results on Monday, July 30, 2018 .
HOUSTON , July 2, 2018 /PRNewswire/ -- Diamond Offshore Drilling, Inc. (NYSE: DO) today announced that Scott Kornblau has been appointed Senior Vice President and Chief Financial Officer, effective immediately. Mr. Kornblau has over 20 years of finance and accounting expertise working in the energy
-- First-of-its-kind cloud-based solution facilitating 24/7 access to well construction activities and progress -- Applying industrial blockchain technology to offshore drilling that reduces the total cost of ownership (TCO) -- Scalable and adaptive, enabling the deployment of customized modules
HOUSTON , April 30, 2018 /PRNewswire/ -- Net income of $19 million , or $0.14 per diluted share Includes a non-cash benefit of $43 million , or $0.32 per diluted share, related to tax reform clarification Adjusted net loss of $(21) million , or $(0.16) per diluted share Diamond Offshore Drilling,
- Sim-Stack service enables a transdisciplinary approach to the science of communications and control theory and its application to electro-hydraulic BOP systems - Highly sophisticated and complex virtual replica for the purposes of understanding the data, prediction and decision-making of critical