scholarly journals Research on the measurement system of drilling while engineering parameters for intelligent drilling in coal mine

2020 ◽  
Vol 165 ◽  
pp. 03036
Author(s):  
Lian Jie
Keyword(s):  
Real Time ◽  
Drilling Process ◽  
Construction Process ◽  
Directional Drilling ◽  
Drilling Tool ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Drilling Technology ◽  
Engineering Parameters ◽  
Parameter Measuring

In order to ensure safe and efficient mining and improve the efficiency of drilling construction, intelligent drilling technology has been studied in China. This technology is another development on the basis of automation. In addition to the automatic execution of the construction process, it also has the characteristics of intelligent perception, intelligent decision-making and intelligent correction. This technology requires engineering parameter measuring equipment to obtain the engineering parameters such as torque, WOB, inner and outer annulus pressure, rotation speed, vibration, temperature, etc. near the drill bit at the bottom of the hole in real time, so as to realize the real-time monitoring of the drilling process parameters at the bottom of the hole and the stress state of the drilling tool in the process of directional drilling, and increase the effective extraction distance of the drilling hole.

Study on the Drilling Formation Selection and Risk Analysis of the Directional Drilling

2012 ◽  
Vol 461 ◽  
pp. 652-655
Author(s):  
Ying Wu ◽  
Peng Zhang ◽  
Xiao Li
Keyword(s):  
Site Investigation ◽  
Construction Site ◽  
Construction Process ◽  
Directional Drilling ◽  
Selection Methods ◽  
Related Literature ◽  
Literature Research ◽  
Geological Conditions ◽  
Drilling Technology ◽  
Pipeline Crossing

Directional drilling technology is an important and very promising trenchless pipeline crossing technology. On the basis of the related literature research at home and abroad and our pipeline construction site investigation, focuses on several common soil properties are introduced, and then the formation adaptability of directional drilling is analyzed. The drilling selection methods are made when drilling in the specific geological conditions, and the possible risks of the construction process have been classified in the directional drilling.

New LWD Image Improvement Method to Mitigate Interpretation Risks

2021 ◽  
Author(s):  
Tianhua Zhang ◽  
Shiduo Yang ◽  
Chandramani Shrivastava ◽  
Adrian A ◽  
Nadege Bize-Forest
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Best Practice ◽  
Synthetic Data ◽  
Image Resolution ◽  
Drilling Process ◽  
Drilling Tool ◽  
Stick Slip ◽  
Geological Interpretation ◽  
Wellbore Temperature

Abstract With the advancement of LWD (Logging While Drilling) hardware and acquisition, the imaging technology becomes not only an indispensable part of the drilling tool string, but also the image resolution increases to map layers and heterogeneity features down to less than 5mm scale. This shortens the geological interpretation turn-around time from wireline logging time (hours to days after drilling) to semi-real time (drilling time or hours after drilling). At the same time, drilling motion is complex. The depth tracking is on the surface referenced to the surface block movement. The imaging sensor located downhole can be thousands of feet away from the surface. Mechanical torque and drag, wellbore friction, wellbore temperature and weight on bit can make the downhole sensor movement motion not synchronized with surface pipe depth. This will cause time- depth conversion step generate image artifacts that either stop real-time interpretation of geological features or mis-interpret features on high resolution images. In this paper, we present several LWD images featuring distortion mechanism during the drilling process using synthetic data. We investigated how heave, depth reset and downhole sensor stick/slip caused image distortions. We provide solutions based on downhole sensor pseudo velocity computation to minimize the image distortion. The best practice in using Savitsky-Golay filter are presented in the discussion sections. Finally, some high-resolution LWD images distorted with drilling-related artifacts and processed ones are shown to demonstrate the importance of image post-processing. With the proper processed images, we can minimize interpretation risks and make drilling decisions with more confidence.

scholarly journals IoT in Online Banking

2021 ◽  
Vol 2 (4) ◽  
pp. 219-222
Author(s):  
Malti Bansal ◽  
Naman Oberoi ◽  
Mohd. Sameer
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Market Share ◽  
Online Banking ◽  
Huge Amount ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Banking Institutions ◽  
Physical Objects

As we know, there are so many changes arriving right now ion the banking industries which are really complex industries. Every day, huge amount of data is processed and gathered. With this increase in size, it is becoming more difficult for banking institutions to manage this data and handle other segments of their business. This paper presents the scope of IoT in the banking domain and how various transformations could potentially bring game changing reforms in the traditional methodology. Banking institutions need to integrate IoT in their systems to increase their market share by providing services catered to a clients need based on the data that’s being processed in real time. In future, IoT will be able to create such technologies which will be able to connect physical objects so that objects can do their own intelligent decision making.

EBDMSS

2012 ◽  
pp. 265-284
Author(s):  
Fen Wang ◽  
Natalie Lupton ◽  
David Rawlinson ◽  
Xingguo Zhang
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Support System ◽  
Balanced Scorecard ◽  
Business Strategy ◽  
Business Managers ◽  
Web Based ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Wide Range

This paper describes a Web-based intelligent decision making support system (DMSS) to deliver balanced scorecard (BSC) based modelling and analysis in support of strategic E-business management. This framework supports E-business managers during the strategy making process in a comprehensive, integrated, and continuous manner. The paper demonstrates how practitioners can use this system to deliver a wide range of embodied E-business strategy expertise in support of real-time decision making.

Field Tests on the Application of Oscillation Tool with a Fluidic Amplifier to Directional Well Drilling

2015 ◽  
Vol 741 ◽  
pp. 599-602
Author(s):  
Jiang Fu He ◽  
He Liu ◽  
Kun Yin ◽  
Xin Gan
Keyword(s):  
Flow Rate ◽  
Pressure Pulse ◽  
Field Tests ◽  
Test Results ◽  
Directional Drilling ◽  
Drilling Tool ◽  
Well Drilling ◽  
Operation Process ◽  
Drilling Tools ◽  
Drilling Technology

The directional well drilling technology is extensively utilized and developed throughout the world. However, series of drilling problems occurred in the operation process of directional drilling. In order to reduce the friction of drilling tools, an oscillation tool with a fluidic amplifier has been field tested, and the pressure pulse of oscillation tool has been obtained. Field test results have shown that the oscillation tool has an extensive flexibility to directional well drilling, and the oscillation tool could stably actuate the drilling tool to have reciprocating vibration, which contributes to the friction and drag reduction of drilling tools. Furthermore, it can be concluded that the pressure pulse value generated by pumped fluid varies with input flow rate, and the pressure of oscillation tool increases while the flow rate is increasing. In addition, the motion frequency of the oscillation tool is exponentially increasing with the raise of pumped flow rate.

Intelligent decision-making with bird-strike risk assessment for airport bird repellent

2018 ◽  
Vol 122 (1252) ◽  
pp. 988-1002 ◽  
Author(s):  
Weishi Chen ◽  
Jie Zhang ◽  
Jing Li
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Real Time ◽  
Expert Knowledge ◽  
Assessment Model ◽  
Classification Model ◽  
Support Vector ◽  
Bird Strike ◽  
Intelligent Decision Making ◽  
Intelligent Decision

ABSTRACTAn intelligent decision-making method was proposed for airport bird-repelling based on a Support Vector Machine (SVM) and bird-strike risk assessment. The bird-strike risk assessment model is established with two exponential functions to separate the risk levels, while the SVM method includes two steps of training and testing. After the risk assessment, the Bird-Repelling Strategy Classification Model (BRSCM) was trained based on the expert knowledge and large amount of historical bird information collected by the airport linkage system for bird detection, surveillance and repelling. Then, in the testing step, the BRSCM was continuously optimised according to the real-time intelligent bird-repelling strategy results. Through several bird-repelling examples of a certain airport, it is demonstrated that the decision accuracy of BRSCM is relatively high, and it could solve new problems by self-correction. The proposed method achieved the optimised operation of multiple bird-repelling devices against real-time bird information with great improvement of bird-repelling effects, overcoming the tolerance of birds to the bird-repelling devices due to their long-term repeated operation.

EBDMSS

2011 ◽  
pp. 549-568
Author(s):  
Fen Wang ◽  
Natalie Lupton ◽  
David Rawlinson ◽  
Xingguo Zhang
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Support System ◽  
Balanced Scorecard ◽  
Business Strategy ◽  
Business Managers ◽  
Web Based ◽  
Intelligent Decision Making ◽  
Intelligent Decision ◽  
Wide Range

This paper describes a Web-based intelligent decision making support system (DMSS) to deliver balanced scorecard (BSC) based modelling and analysis in support of strategic E-business management. This framework supports E-business managers during the strategy making process in a comprehensive, integrated, and continuous manner. The paper demonstrates how practitioners can use this system to deliver a wide range of embodied E-business strategy expertise in support of real-time decision making.

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