Realtime Drilling Geomechanics Service, Case Study, Offshore Malaysia

2015 ◽  
Author(s):  
Babak Heidari ◽  
Sook Ting Leong ◽  
Nguyen Truong Son ◽  
M Zafril Aznor
Keyword(s):  
Real Time ◽  
Pore Pressure ◽  
Main Concern ◽  
Drilling Performance ◽  
Weight Window ◽  
Advance Notice ◽  
Complex Structural ◽  
Well Data ◽  
Fracture Gradient ◽  
Real Time Information

Abstract Real Time Drilling Geomechanics (RTDG) provides relevant real time information and integrated workflow to help clients in reducing operational risk and nonproductive time (NPT) through drilling in marginal economical and technically challenging environments. Dulang-B field is a technical challenge due to its complex structural geological environment. All the existing wells failed to penetrate into deep reservoir F40 sands due to wellbore instabilities issues. Overpressure in F-sands remains always the main concern and challenge which led to unsafe drilling environment and significant nonproductive time in the field. Avoiding drilling surprises means more than being prepared for problems when they occur; it means averting them in the first place. Appropriate safe mud weight to drill each formation, must be defined to overcome different overpressure zones and identify the best position for casing seat of each hole section of the well. With the knowledge acquired through pore pressure and fracture gradient modeling, well behavior could be foretold with enough advance notice to allow drilling team to calmly make technically sound operational decisions that lead to optimal drilling performance. This study presents the challenges and the main results of the collaborative drilling approach via RTDG (Real Time Drilling Geomechanics) operation in well DL-B28 ST2. This study focuses on the overpressure and narrow safe mud weight window as well as level of uncertainty over prognosis formation tops which has to be managed by integrating LWD seismicVISION* and RTDG which had clear impacts on decision making process. The real time measurement approach by utilizing actual well data provided the best solution to accurately constrain pre-drill pore pressure and fracture gradient model.

Digital Transformation Enables Automated Real-Time Torque-and-Drag Modeling

2021 ◽  
Vol 73 (01) ◽  
pp. 69-70
Author(s):  
Chris Carpenter
Keyword(s):  
Real Time ◽  
String Model ◽  
Digital Transformation ◽  
Data Infrastructure ◽  
Representational State Transfer ◽  
Drilling Performance ◽  
Rest Api ◽  
Well Data ◽  
Program Interface ◽  
D Model

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 199670, “Digital Transformation Strategy Enables Automated Real-Time Torque-and-Drag Modeling,” by Dingzhou Cao, Occidental Petroleum; Don Hender, SPE, IPCOS; and Sam Ariabod, Apex Systems, et al., prepared for the 2020 IADC/SPE International Drilling Conference, Galveston, Texas, 3-5 March. The paper has not been peer reviewed. Automated real-time torque-and-drag (RT-T&D) analysis compares real-time measurements with evergreen models to monitor and manage downhole wellbore friction, improving drilling performance and safety. Enabling RT-T&D modeling with contextual well data, rig-state detection, and RT-interval event filters poses significant challenges. The complete paper presents a solution that integrates a physics-based T&D stiff/soft string model with a real-time drilling (RTD) analytics system using a custom-built extract, transform, and load (ETL) translator and digital-transformation applications to automate the T&D modeling work flow. Methodology A T&D representational state transfer (REST) application program interface (API) was integrated with an RTD analytics system capable of receiving and processing both real-time (hookload, torque, and rig-state) and digitized (drillstring and casing components, trajectory profiles, and mud-property) well data across multiple platforms. This strategy consists of four parts: Digital transformation apps, ETL, and translator Physics-based stiff/soft string T&D model API Pre-existing data infrastructure RTD analytics system The data-flow architecture reveals a flexible design in the sense that it can accommodate different types of T&D models or any other physics-based REST API models (e.g., drillstring buckling or drilling hydraulics) and can be accessed offline for prejob/post-job planning. Drilling engineers can also leverage the RTD systems’ historical database to perform recalculations, comparative analysis, and friction calibrations. The RT-T&D model also can be deployed in a cloud environment to ensure that horizontal scalability is achieved.

Shifting the Paradigm: The Effective Way to Use Real-Time Data for Improved and Safer Oilwell Operations

2012 ◽  
Author(s):  
David M. Pritchard ◽  
Jesse Roye ◽  
J. C. Cunha
Keyword(s):  
Real Time ◽  
Control Analysis ◽  
Time Data ◽  
Well Control ◽  
Real Time Data ◽  
Drilling Operations ◽  
Recorded Data ◽  
Well Data ◽  
The Right ◽  
Real Time Information

When analyzing root causes for minor or major problems occurring in oilwell drilling operations, investigators almost always can track past events, step by step, using recorded data that was produced when the operation occurred. In recent catastrophic blow-outs, investigators were able not only to determine the causes of the accidents but also to indicate mitigating actions, which could have prevented the accident if they were taken when the operation actually took place. This is a strong indicator that, even though the industry has valuable real-time information available, it is not using it as a tool to avoid harmful events and improve performance. Real-time data is not about well control, it is about well control avoidance. Recent catastrophic events have underscored the value of having the right kind of experience to understand and interpret well data in real time, taking the necessary corrective actions before it escalates to more serious problems. What is the well telling us? How do we use real time data to ensure a stable wellbore? Real-time monitoring, integrated with rigorous total well control analysis, is required to embrace and achieve continuous improvements — and ensure the safest possible environment. Next generation monitoring requires a step change that includes hazards avoidance as a precursor to drilling optimization. Real-time data can be used effectively in operations to avoid, minimize, and better manage operational events associated with drilling and completion. Real-time data can also provide the foundational support to improve training in the industry as well as develop hands-on simulators for hazards avoidance.

Real-Time Pore Pressure and Fracture Gradient Evaluation in All Sedimentary Lithologies

1995 ◽  
Vol 10 (04) ◽  
pp. 215-222 ◽  
Author(s):  
P.W. Holbrook ◽  
D.A. Maggiori ◽  
Rodney Hensley
Keyword(s):  
Real Time ◽  
Pore Pressure ◽  
Fracture Gradient

Digitized Uncertainty Handling of Pore Pressure and Mud-Weight Window Ahead of Bit: North Sea Example

SPE Journal ◽  
2019 ◽  
Vol 25 (02) ◽  
pp. 529-540
Author(s):  
Ane E. Lothe ◽  
Pierre Cerasi ◽  
Manuel Aghito
Keyword(s):  
Pore Pressure ◽  
North Sea ◽  
Failure Criteria ◽  
Horizontal Stress ◽  
Traffic Light ◽  
Data Set ◽  
Pressure Profiles ◽  
Weight Window ◽  
Frictional Coefficients ◽  
Fracture Gradient

Summary A digitized workflow from predrill pore-pressure modeling with a Monte Carlo approach until update of the pressure prognosis while drilling from (for example) sonic or resistivity data is described. The approach has the potential to reduce the uncertainty in the predicted mud-weight window ahead of the bit. For the 3D pressure modeling, a basin modeling software is used, where the pressure compartments in the study area are defined by faults interpreted from seismic. Pressure generation and dissipation are calculated for the study area over millions of years, as the basin was subsiding and compaction was taking place. Key input parameters such as minimum horizontal stress, vertical stress, and frictional coefficients for failure criteria are varied. The output is pore-pressure profiles along the planned well path, with uncertainties. The work presented in this paper was carried out on a North Sea data set. The results show that the uncertainty in the pore pressures will highly influence the uncertainty span in both the fracture gradient and the collapse gradient. Representing the mud-weight window in terms of the most likely collapse and fracturing curve, with corresponding minimum and maximum pore-pressure-derived limits on each side, makes for a more realistic prediction. It presents the uncertainty in the result in a simple visual form, using a “traffic light” approach. While drilling, log data will automatically be used to update the pressure and mud-weight prognosis ahead of bit. The digital updated prognosis can help the drilling crew in decision making during drilling campaigns.

Annular Pressure Management - Benefits from Using Along-String Measurements in Real Time While Tripping

2021 ◽  
Author(s):  
Eirik Vandvik ◽  
Carolina Gomez ◽  
Børge Nygård ◽  
Espen Andreassen ◽  
Gunn Åshild Ulfsnes
Keyword(s):  
Real Time ◽  
Pore Pressure ◽  
Drill Pipe ◽  
Pressure Sensors ◽  
Late Summer ◽  
Pressure Data ◽  
Two Phases ◽  
Autumn And Winter ◽  
Real Time Information ◽  
Original Equipment Manufacturers

Abstract The objective of this paper is to discuss and outline how downhole pressure data conveyed through the wired drill pipe (WDP) telemetry system was used by the Snorre Expansion Project (SEP) team to drill pressure restrictive reservoirs safely and efficiently. An original equipment manufacturers (OEM) WDP system was deployed on a ram rig for SEP late summer 2019 for the 24 well campaign. Drilling at six separate templates scattered between Snorre A and B, formation, well path and pressure regimes, differ significantly throughout the project. SEP divided its year into two phases: drilling during the Autumn and Winter seasons, and completion during Spring and Summer. To monitor and act on the changes in pressure, real-time along the string sensors were utilized through the WDP system. In conjunction with the newly developed prototype data while tripping (DWT) tool, constant 0.5 Hz pressure data was transferred real-time from downhole to the decision makers on the rig and onshore, both while drilling and tripping. Allowing for continuous surveillance of the downhole condition proved crucial during the first reservoir section of the project that was drilled during a heavy Winter storm in January 2020. As well as gauging the effectiveness of the hole cleaning, the downhole impact of rig heave was also measured by the pressure sensors. The sensors showed that 1.5 to 2.0 m rig heave would result in up to ±20 bar fluctuation of the lowermost sensor, risking downhole pressure to go below the pore pressure of the formation. Acting on the real-time information, the rig halted drilling and pulled the string to the shoe, waiting out the weather. Swab pressures were measured while tripping and used to adjust the string speed, avoiding proximity to the pore pressure. The drilling program was subsequently changed, postponing most challenging reservoir sections to the spring, thereby avoiding a similar situation or worse.

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