Javascript must be enabled to continue!
LWD Sonic Data Analysis and Applicability in South China Sea
View through CrossRef
Abstract
Many drilling risks are met during exploration and evaluation stage in South China Sea, China. The narrow mud weight window and presence of high pressure formation are two main challenges in this area. Generally, geomechanics study will be carried out using information obtained from nearby wells together with the surface seismic data before drilling the well. Sonic measurement is one of the most important input data in the geomechanics analysis to provide an estimate for mud weight window and drilling risks evaluation. What's more, the real-time LWD sonic is critical to improve the accuracy of the safe mud window by calibrating the initial geomechanics model to reduce the associated drilling risks. The real-time LWD sonic data together with the pre-drill geomechanics model calibration is our solution for those challenges.
Based on our experience, the former LWD sonic tool delivers good memory data but the real-time data quality is not very consistent depending on drilling noise, borehole condition, formation properties as well as other operation restrictions. In such cases, the sonic memory data was used to calibrate the mechanical earth model, the updated model will then be used as reference to drill the subsequence well. However, with unstable real-time sonic data makes it difficult to perform real-time evaluation.
Having a reliable real-time sonic measurement is very important for offshore operation, especially in High Pressure High Temperature (HPHT) environment to reduce the drilling risks and save rig time. It is vital to get good quality and accurate real-time sonic data to meet our requirements. With the latest LWD sonic tool, good quality of LWD sonic data was obtained for both real-time and memory. The real-time slowness acquired matches the memory slowness very well which give us more confidence to perform real-time geomechanics analysis in the coming HPHT deep water project.
This paper focuses on data quality comparison between the two generation of LWD sonic tools tested in this area, challenges and methodology in real-time data quality control as well as the applicability of the LWD sonic in South China Sea. With the confidence of the real-time measurement data quality shown in these examples, this will significantly reduce the drilling risks in our next HPHT project. This assurance also enables us to explore additional applications in our projects.
Title: LWD Sonic Data Analysis and Applicability in South China Sea
Description:
Abstract
Many drilling risks are met during exploration and evaluation stage in South China Sea, China.
The narrow mud weight window and presence of high pressure formation are two main challenges in this area.
Generally, geomechanics study will be carried out using information obtained from nearby wells together with the surface seismic data before drilling the well.
Sonic measurement is one of the most important input data in the geomechanics analysis to provide an estimate for mud weight window and drilling risks evaluation.
What's more, the real-time LWD sonic is critical to improve the accuracy of the safe mud window by calibrating the initial geomechanics model to reduce the associated drilling risks.
The real-time LWD sonic data together with the pre-drill geomechanics model calibration is our solution for those challenges.
Based on our experience, the former LWD sonic tool delivers good memory data but the real-time data quality is not very consistent depending on drilling noise, borehole condition, formation properties as well as other operation restrictions.
In such cases, the sonic memory data was used to calibrate the mechanical earth model, the updated model will then be used as reference to drill the subsequence well.
However, with unstable real-time sonic data makes it difficult to perform real-time evaluation.
Having a reliable real-time sonic measurement is very important for offshore operation, especially in High Pressure High Temperature (HPHT) environment to reduce the drilling risks and save rig time.
It is vital to get good quality and accurate real-time sonic data to meet our requirements.
With the latest LWD sonic tool, good quality of LWD sonic data was obtained for both real-time and memory.
The real-time slowness acquired matches the memory slowness very well which give us more confidence to perform real-time geomechanics analysis in the coming HPHT deep water project.
This paper focuses on data quality comparison between the two generation of LWD sonic tools tested in this area, challenges and methodology in real-time data quality control as well as the applicability of the LWD sonic in South China Sea.
With the confidence of the real-time measurement data quality shown in these examples, this will significantly reduce the drilling risks in our next HPHT project.
This assurance also enables us to explore additional applications in our projects.
Related Results
Sourceless LWD Borehole Acoustics: Field Testing the Concept
Sourceless LWD Borehole Acoustics: Field Testing the Concept
Seismic compressional and shear velocities are uniquely sensitive to the elasticity of the Earth and are used to estimate many properties of interest in oil exploration, reservoir ...
Can Sourceless Density LWD Replace Wireline in Exploration Wells? Case Study from Saudi Arabia
Can Sourceless Density LWD Replace Wireline in Exploration Wells? Case Study from Saudi Arabia
Abstract
With the search for hydrocarbon reaching extreme and difficult frontiers worldwide, the use of tools that allow real-time monitoring of operations, such as ...
Iterative Cement Bond Logging Without Calibration
Iterative Cement Bond Logging Without Calibration
Cement bonding logging (CBL) has recently evolved to include logging-while-drilling (LWD) sonic tools due to the multiple benefits of LWD logging. Yet, there is an LWD-specific cha...
MWD /LWD Challenges and Solutions for Drilling the Longest Al Hosn Gas Well in an Aggressive Subsurface Environment
MWD /LWD Challenges and Solutions for Drilling the Longest Al Hosn Gas Well in an Aggressive Subsurface Environment
Abstract
This paper will detail the coordination between multiple teams and across technical discipline groups to successfully drill a +28000 feet (ft.) measured dep...
Prediction of P-Wave Sonic Logs Via Neural Network and Seismic Trace Inversion: A Comparison
Prediction of P-Wave Sonic Logs Via Neural Network and Seismic Trace Inversion: A Comparison
Abstract
A methodology that utilizes neural network (NN) architecture was developed for predicting P-wave sonic logs. Well logs and fundamental attributes of seis...
Geohazards in the Yellow Sea and East China Sea
Geohazards in the Yellow Sea and East China Sea
ABSTRACT
Shallow submarine geology in the Yellow and East China seas is dicta ted mostly by the proximity of the Yellow and Yangtze Rivers and by the late Quatern...
Mindy Calling: Size, Beauty, Race in The Mindy Project
Mindy Calling: Size, Beauty, Race in The Mindy Project
When characters in the Fox Television sitcom The Mindy Project call Mindy Lahiri fat, Mindy sees it as a case of misidentification. She reminds the character that she is a “petite ...
Successful Integration of Electromagnetic MWD-LWD Technology Extends UBD Operation Envelope into Severely Depleted Fields
Successful Integration of Electromagnetic MWD-LWD Technology Extends UBD Operation Envelope into Severely Depleted Fields
Abstract
The advantages of electromagnetic (EM) telemetry are not always considered when planning drilling operations. This paper examines the execution and lessons ...

