Integrating the Fully Coupled Geomechanical with Thermodynamics Modeling for the Well Control in High Pressure and Temperature Condition

2021 ◽  
Author(s):  
Xindong Wang ◽  
Xue Ke ◽  
Shuxia Zhang ◽  
Cheng Zhang ◽  
Hui Li ◽  
...  

Abstract Drilling operations is risky due to narrow mud weight windows in deep wells. Different type of drilling events and wellbore instability have encountered frequently including inflow, drilling induced tensile fractures (DITF), losses and connection gas etc. As such to mitigate the problems, a robust pore pressure prediction is necessary with requires an understanding of the origins and distribution of overpressures in the area. The technical research process is divided into three steps: pre-drill pore pressure predication (PPP) modelling, real-time monitoring and post-drill validation. Efforts were made to understand the geological settings and temperature model. A pore pressure predication (PPP) model was built by integrating fully coupled geomechanical with thermodynamics modeling. Real-time monitoring information provides references and guidelines for PPP model optimization. During the post-drill stage, the updated PPP model was used to design a mud weight and casing program for the upcoming wells. The study area is located northwestern China, the deep formations that more than 7000 meters are ultra-high temperature (200-220 deg C). Thermal-related secondary pore pressure generating mechanism may become active leading to higher overpressure and difficulties in prediction. For the case study, an empirical relationship of overpressure impact factors versus temperature of sandstone and mudstone was proposed. An accurate PPP model is generated using available well-scale geomechanical model and overpressure impact factors. With an integrating fully coupled PPP model as foundation, the integrated approach helps to reduce serious wellbore instability caused by abnormal formation pressure, wellbore collapse and other complex drilling problems deep wells. A1 well was safely drilled guided by the study result and has no significant wellbore instability issues and has minimum reservoir damage due to optimal mud weight program. These findings will provide reference for overpressure mechanics study of deep wells. The multidisciplinary study results have created value by improving drilling performance and well delivery efficiency. It can also help operator reduce drilling costs and make development plan decisions.

Geofluids ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Jincai Zhang ◽  
Shangxian Yin

High uncertainties may exist in the predrill pore pressure prediction in new prospects and deepwater subsalt wells; therefore, real-time pore pressure detection is highly needed to reduce drilling risks. The methods for pore pressure detection (the resistivity, sonic, and corrected d-exponent methods) are improved using the depth-dependent normal compaction equations to adapt to the requirements of the real-time monitoring. A new method is proposed to calculate pore pressure from the connection gas or elevated background gas, which can be used for real-time pore pressure detection. The pore pressure detection using the logging-while-drilling, measurement-while-drilling, and mud logging data is also implemented and evaluated. Abnormal pore pressure indicators from the well logs, mud logs, and wellbore instability events are identified and analyzed to interpret abnormal pore pressures for guiding real-time drilling decisions. The principles for identifying abnormal pressure indicators are proposed to improve real-time pore pressure monitoring.


2021 ◽  
pp. 1-46
Author(s):  
William J. Berger ◽  
Zachary I. Metz ◽  
Shams Ul-Hadi ◽  
James Thomson ◽  
James Keenan ◽  
...  

Deepwater basins around the world contain shallow sequences of overpressured, sand-prone sediments that can result in Shallow Water Flow (SWF) events. These events have frequently resulted in wellbore instability, increased man-hour exposure to potential HSSE risks as well as non-productive time (NPT) and have sometimes been the cause of the loss of the well while drilling the shallow (riserless) section for oil and gas exploration or development projects. Methods previously established to classify the magnitude of a SWF event have been used with partial success to identify the onset of a SWF event. The need existed to develop a system enabling early prediction, detection and mitigation of SWF events while drilling. Real-time monitoring of the riserless section of a marine well for SWF requires a system using a plurality of data feeds defined here as the SYSTEM. The data feeds include seismic data, remotely operated vehicle (ROV) video, and surface and downhole logging measurements. A SWF surveillance methodology, herein defined as a discharge category model (DCM), has been developed for early detection of a SWF event, prior to the onset of wellbore instability. The DCM focuses on baseline discharge categories (ranging from no flow to minor flow) prior to wellbore instability and taking into account the u-tube effects. Real-time monitoring of data feeds coupled with the DCM in the context of the SYSTEM has helped to mitigate SWF events. There have been no wells lost due to SWF events that have utilized the DCM in the context of the SYSTEM in various basins throughout the world. A total of 154 wells have been monitored globally using the DCM with 46 SWF events detected and mitigated before reaching a severity level that might compromise the well integrity from 2012 to 2019.


Designs ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 45 ◽  
Author(s):  
Nahashon O. Osinde ◽  
Jean B. Byiringiro ◽  
Michael M. Gichane ◽  
Hasan Smajic

Currently, Kenya supplies its energy demand predominantly through hydroelectric power, which fluctuates due to poor and unpredictable rainfall in particular years. Geothermal energy is proposed as a clean and reliable energy source in meeting Kenya’s increasing energy demand. During geothermal drilling operations, disruptions due to tool wear and breakages increases the cost of operation significantly. Some of these causes can be mitigated by real-time monitoring of the tool head during operations. This paper presents the design and implementation of a digital twin model of a drilling tool head, represented as a section of a mechatronic assembly system. The system was modelled in Siemens NX and programmed via the TIA portal using S7 1200 PLC. The digital model was programmed to exactly match the operations of the physical system using OPC (open platform communications) standards. These operations were verified through the motion study by simultaneous running of the assembly system and digital twin model. The study results substantiate that a digital twin model of a geothermal drilling operation can closely mimic the physical operation.


2006 ◽  
Vol 175 (4S) ◽  
pp. 521-521
Author(s):  
Motoaki Saito ◽  
Tomoharu Kono ◽  
Yukako Kinoshita ◽  
Itaru Satoh ◽  
Keisuke Satoh

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-1175-Pr3-1182 ◽  
Author(s):  
M. Losurdo ◽  
A. Grimaldi ◽  
M. Giangregorio ◽  
P. Capezzuto ◽  
G. Bruno

2014 ◽  
Author(s):  
Rozaimi Ghazali ◽  
◽  
Asiah Mohd Pilus ◽  
Wan Mohd Bukhari Wan Daud ◽  
Mohd Juzaila Abd Latif ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 101-LB
Author(s):  
ABHINAV BHUSHAN ◽  
SONALI J. KARNIK

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