Kelda  Automation of MPD equipment
Kelda Automation of MPD equipment
Applications

Automation of MPD equipment

Operational success of any MPD project is highly dependent on the system used to control annular pressure while drilling.

A versatile control system can be used in any application – from fast, highly efficient onshore wells through to complex offshore deepwater wells.

New build MPD manifolds

Integrating a control system on new build manifolds early in the design and construction phase ensures seamless commissioning and operation.

Whether on or offshore, identifying the right control system along with optimum complimentary sensors streamlines installation time and optimizes performance.

Retrofitting existing MPD manifolds

The right control system is modular and adaptive enough to retrofit any MPD manifold regardless of the number of chokes, choke type or trim.

Numerous control systems are in use across industry and owners of multiple systems are often faced with managing and maintaining different control methodologies and user interfaces across their fleet.

Upgrading to a highly automated, robust system can dramatically reduce operating cost and increase operational efficiency.

Rig integrated MPD systems

As MPD has evolved to become the drilling method of choice, rig owners are looking to integrate MPD systems into their rig fleet.

Fully automated MPD control systems allow rig crews to easily operate MPD equipment without the need for specialist and expert personnel – reducing head count while simultaneously minimizing the risk of human error.

How can we help?

  • Provide subject matter expertise on all parts of the technical system ranging from software to automation hardware as well as operational expertise on MPD.
  • Rig integration and system design; , FMEA software solutions, automation hardware and
  • Fit-for-purpose design of MPD equipment and sensors
  • Simulation-based control system testing with software-in-the-loop (SiL) and hardware-in-the-loop (HiL) to verify performance and robustness