Mud-Gas Separator Response to Well Control Procedure

1994 ◽  
Author(s):  
M.D. Williamson ◽  
R.A. Dawe
2018 ◽  
Author(s):  
Mohamed M. El-Nekhily ◽  
Nasser M. Al-Hajri ◽  
Ibraheem M. Al-Ageel ◽  
Ibrahim A. Al-Obaidi

1992 ◽  
Vol 7 (04) ◽  
pp. 247-253
Author(s):  
S. Miska ◽  
F.E. Beck ◽  
B.S. Murugappan

Author(s):  
Amare Leulseged ◽  
Sima A. Nepal ◽  
Dan Sui ◽  
Suranga C. H. Geekiyanage

In drilling operations, the downhole pressure (BHP) requires to be closely monitored and precisely managed to avoid potential drilling events harmful to personnel and environment. If the BHP is lower than the pore pressure, kick (amount of influx) from formation will enter the wellbore, which might result in (underground) blowout. If not properly managed, this could be more costly than surface blowouts [1]. Well control aims to stop and remove the influx and re-establish primary barriers. Managed Pressure Drilling (MPD) is an advanced drilling technology capable of precisely controlling annular pressure profile throughout the wellbore. In this study, a high fidelity transient flow model is used for simulating dynamic well control procedure in MPD to properly manage annular pressure during kick circulation after the kick is detected. In this work, an automated well control in MPD is simulated, where PID control algorithm is implemented by manipulating choke valve opening to dynamically regulate the BHP during kick circulation. The main aim is to investigate dynamic kick management with the use of different type of muds, water based mud (WBM) and oil based mud (OBM). For different mud systems, the well control performances for long extended reach wells are evaluated and compared. From simulations, it shows that the OBM is able to hide the influx to a large extent, than the WBM due to the much higher gas solubility of the OBM. In HPHT wells, the OBM is superior to the WBM with proper automatic surface pressure control in MPD operations. Using complicated dynamic flow model can provide more precisely surface pressure control for realtime dynamic kick management.


2012 ◽  
Vol 524-527 ◽  
pp. 1628-1633
Author(s):  
Qi Ji Yuan ◽  
Zheng Zheng

During the process of drilling, overflow happens when the waterhole blocks, drilling tool breaks off and drops into the well, or empty hole occurs after hoisting completed. In course of the workover operation, overflow happens while oil tube fracturing, blocking up, and occurring empty well or can’t flow. As it is difficult to establish effective fluid cycling for such type of well when overflow occurs, conventional killing well method cannot handle the problem of overflow for the well in special operating conditions. The so-called special operating conditions well have intact well head control equipment, but unable establish cycling after the overflow well shut in. The paper is aimed at finding out the non-routine well control procedure to deal with the overflow of the well in special operating conditions. Study the well killing technology in four situations. The situation included the well is full of natural gas, lower of the well is liquid column and upper of the well is natural gas, the wellbore blocks and unable establish cycling for containing liquid column, besides the wellbore holds fish where the fish is intact and doesn’t block the wellbore, the fish blocks the wellbore or the fish is breakup and blocks the wellbore. Discuss the principles, steps, calculation procedure and formulas of killing well in volumetric control mode. The result is applied in one of the non-conventional wells’ workover operation in the eastern of Sichuan. This paper simulates the calculation of killing well and reveals the killing well curves and form design.


Author(s):  
Naoki Ono ◽  
Takahiro Wako ◽  
Tomohiro Higurashi ◽  
Sohei Matsumoto
Keyword(s):  

Author(s):  
Matheus Augusto Campos Pires ◽  
Bruno Carmo ◽  
Reinaldo Orselli ◽  
Breno de Almeida Avancini

Author(s):  
R. Irawan

Leap frog concept was created to address the loss of single joint rig agility and drive the cycle time average lower than ever. The idea is to move the preparation step into a background activity that includes moving the equipment, killing the well, dismantling the wellhead and installing the well control equipment/BOP before the rig came in. To realize the idea, a second set of equipment is provided along with the manpower. By moving the preparation step, the goal is to eliminate a 50% portion of the job from the critical path. The practice is currently performed in tubing pump wells on land operations. However, the work concept could be implemented for other type of wells, especially ESP wells. After implementation, the cycle time average went down from 18 hours to 11 hours per job, or down by ~40%. The toolpusher also reports more focused operations due to reduced scope and less crew to work with, making the leap frog operation safer and more reliable. Splitting the routine services into 2 parts not only shortened the process but it also reduces noise that usually appear in the preparation process. The team are rarely seen waiting on moving support problems that were usually seen in the conventional process. Having the new process implemented, the team had successfully not only lowered cycle time, but also eliminated several problems in one step. Other benefits from leap frog implementation is adding rig count virtually to the actual physical rig available on location, and also adding rig capacity and completing more jobs compared to the conventional rig. In other parts, leap frog faced some limitation and challenges, such as: limited equipment capability for leap frog remote team to work on stuck plunger, thus hindering its leap frog capability, and working in un-restricted/un-clustered area which disturb the moving process and operation safety.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sangyoon Yi ◽  
Xianyang Zhang ◽  
Lu Yang ◽  
Jinyan Huang ◽  
Yuanhang Liu ◽  
...  

AbstractOne challenge facing omics association studies is the loss of statistical power when adjusting for confounders and multiple testing. The traditional statistical procedure involves fitting a confounder-adjusted regression model for each omics feature, followed by multiple testing correction. Here we show that the traditional procedure is not optimal and present a new approach, 2dFDR, a two-dimensional false discovery rate control procedure, for powerful confounder adjustment in multiple testing. Through extensive evaluation, we demonstrate that 2dFDR is more powerful than the traditional procedure, and in the presence of strong confounding and weak signals, the power improvement could be more than 100%.


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