MPD Operation Solved Drilling Challenges in a Severely Depleted HP/HT Reservoir

Bjorkevoll, Knut Steinar; Molde, Dag Ove; Rommetveit, Rolv; Syltøy, Svein

doi:10.2118/112739-ms

Cited by 36 publications

(8 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These models are able to reproduce a wide range of drilling-specific effects to an impressingly high degree of detail. Real-time versions of these models have also been used in MPD operations-both offline and online [see, for example, Eck-Olsen et al (2005) and Bjørkevoll et al (2008Bjørkevoll et al ( , 2010]. …”

Section: Introductionmentioning

confidence: 99%

Simplified Hydraulics Model Used for Intelligent Estimation of Downhole Pressure for a Managed-Pressure-Drilling Control System

Kaasa¹,

Stamnes²,

Aamo³

et al. 2012

SPE Drilling &Amp; Completion

113

View full text Add to dashboard Cite

An essential part of an automated managed-pressure-drilling (MPD) control system is the hydraulics model, which, in many cases, is the limiting factor for achievable accuracy of the system. Much effort, therefore, has been put into developing advanced hydraulics models that capture all aspects of the drilling-fluid hydraulics. However, a main drawback is the resulting complexity of these models, which require expert knowledge to set up and calibrate, making it a high-end solution.In practice, much of the complexity does not contribute to improvement of the overall accuracy of the pressure estimate simply because conditions in the well change during MPD operations and there are not enough measurements to keep all of the parameters of an advanced model calibrated.We will demonstrate that a simplified hydraulics model based on basic fluid dynamics is able to capture the dominating hydraulics of an MPD system. Furthermore, we will demonstrate that, by applying algorithms for online parameter estimation similar to those used in advanced control systems in the automotive and aerospace industry, the model can be calibrated automatically by use of existing measurements to achieve a level of accuracy comparable with that of a calibrated advanced hydraulics model. The results are demonstrated using field data from MPD operations in the North Sea and dedicated experiments obtained at a full-scale drilling rig in Stavanger.

show abstract

Section: Introductionmentioning

confidence: 99%

Simplified Hydraulics Model Used for Intelligent Estimation of Downhole Pressure for a Managed-Pressure-Drilling Control System

Kaasa¹,

Stamnes²,

Aamo³

et al. 2012

SPE Drilling &Amp; Completion

113

View full text Add to dashboard Cite

show abstract

“…in MPD, the MPD functionality should be implemented in the same system as the driller use for conventional drilling and not on its own control system, and that the MPD operation also should run on the same DCSS. All real time data should be logged on the same information management system (IMS) with a high update frequency (1)(2)(3)(4)(5). And as we are working towards integrated operations with improved collaboration between the offshore drilling crew and on-shore support centers, real time data should also be made available onshore.…”

Section: Control System Specifications For High-end Automatic Mpdmentioning

confidence: 99%

Control Requirements for High-End Automatic MPD Operations

Godhavn

2009

SPE/IADC Drilling Conference and Exhibition

View full text Add to dashboard Cite

Automatic control solutions for drilling are expected to become widely used in the future. Both basic and more advanced control tools are well established in other communities like offshore processing facilities and oil refineries. Drilling systems, however, have traditionally been operated manually. There is a great economic potential for the introduction of automatic control providing reduced drilling time, increased regularity and improved performance, especially for wells with very narrow pressure margins. One example of automated drilling is automatic control of the downhole pressure by topside choking in managed pressure drilling (MPD) operations. Narrow drilling margins, especially in depleted reservoirs, ask for highly accurate pressure control.StatoilHydro applied automatic MPD operations successfully offshore at the Kvitebjørn field in the North Sea in 2007, and several new MPD projects are currently being prepared. This paper presents some results from Kvitebjørn and discusses automatic control requirements for drilling operations. These requirements include a specified accuracy for a set of normal operations, such as rate changes and set point ramping during connections, surge and swab, and some failure operations, such as power loss, gas kicks and blocked choke. The paper also includes some ideas for the future of intelligent drilling operations with increasing automation. NomenclatureAPC = Advanced Process Control BHA = Bottom Hole Assembly CCS = Continuous Circulation System DCSS = Distributed Control and Safety System FPWD = Formation Pressure While Drilling GUI = Graphical User Interface HP = High Pressure HPHT = High Pressure High Temperature HSE = Health, Safety and Environment IMS = Information Management System KF = Kalman Filter MPC = Model Predicitive Control MPD = Managed Pressure Drilling MWD = Measurements While Drilling NPT = Non-Productive Time OPC = OLE for Process Control PID = Proportional, Integral and Derivative PWD = Pressure While Drilling RPM = Rotations Per Minute SG = Specific Gravity SPM = Strokes Per Minute TVD = True Vertical Depth Finally it seems like the drilling industry has opened their eyes for the potential of automatic control. Automatic control is a very mature technology that has been widely used in most industries for several decades. The main motivation factors for the introduction of automatic control are reduced costs and improved efficiency, e.g. in mass production of cars, food, etc, where expensive manual labour has been replaced by machines. Another motivation factor is improved accuracy and safety, e.g. in air planes and nuclear plants. In the oil and gas industry, process control is widely used at refineries, onshore plants and offshore rigs. Here hundreds or thousands of variables like pressure, temperature, level and flow, are controlled automatically by feedback control loops consisting of controllers and remotely actuated valves, pumps, etc. Typically two operators supervise all control loops in a plant from a control room. The process is so complex...

show abstract

“…See e.g. Eck-Olsen et al (2005), Bjørkevoll et al (2008) and Bjørkevoll (2010). For any simulation model, however, the overall accuracy is limited by the least accurate term.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Estimation of Downhole Pressure Using a Simple Hydraulic Model

et al. 2011

View full text Add to dashboard Cite

An essential part of an automated MPD control system is the hydraulic model, which in many cases is the limiting factor for achievable accuracy of the system. A lot of effort has therefore been put into developing advanced hydraulic models that capture all aspects of the drilling fluid hydraulics. However, a main drawback is the resulting complexity of these models, which require expert knowledge to set up and calibrate, making it a high-end solution.In practice, much of the complexity does not contribute to improve the overall accuracy of the pressure estimate, simply because conditions in the well changes during MPD operations, and there are not enough measurements to keep all of the parameter of an advanced model calibrated. We will demonstrate that a simplified hydraulic model based on basic fluid dynamics is able to capture the dominating hydraulics of an MPD system. Furthermore, we will demonstrate that by applying algorithms for online parameter estimation, similar to those used in advanced control systems in the automotive and aerospace industry, the model can be calibrated automatically using existing measurements to achieve a level of accuracy comparable to that of an advanced hydraulic model. The results are demonstrated using field data from MPD operations in the North Sea, and dedicated experiments obtained at a full-scale drilling rig in Stavanger.

show abstract

MPD Operation Solved Drilling Challenges in a Severely Depleted HP/HT Reservoir

Cited by 36 publications

References 6 publications

Simplified Hydraulics Model Used for Intelligent Estimation of Downhole Pressure for a Managed-Pressure-Drilling Control System

Simplified Hydraulics Model Used for Intelligent Estimation of Downhole Pressure for a Managed-Pressure-Drilling Control System

Control Requirements for High-End Automatic MPD Operations

Intelligent Estimation of Downhole Pressure Using a Simple Hydraulic Model

Contact Info

Product

Resources

About