A Real-Time Well Site Log Analysis Application Using MRI Logs

2000 ◽  
Author(s):  
Prabhakar Aadireddy ◽  
George Coates
Keyword(s):  
Real Time ◽  
Log Analysis ◽  
Analysis Application

scholarly journals Quasi real-time fault model estimation for near-field tsunami forecasting based on RTK-GPS analysis: Application to the 2011 Tohoku-Oki earthquake (Mw9.0)

2012 ◽  
Vol 117 (B2) ◽  
pp. n/a-n/a ◽  
Author(s):  
Yusaku Ohta ◽  
Tatsuya Kobayashi ◽  
Hiroaki Tsushima ◽  
Satoshi Miura ◽  
Ryota Hino ◽  
...  
Keyword(s):  
Real Time ◽  
Near Field ◽  
Fault Model ◽  
Model Estimation ◽  
Tsunami Forecasting ◽  
Analysis Application ◽  
Rtk Gps

A Real-Time Log Analyzer Based on MongoDB

2014 ◽  
Vol 571-572 ◽  
pp. 497-501 ◽  
Author(s):  
Qi Lv ◽  
Wei Xie
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Performance Comparison ◽  
Log Analysis ◽  
Data Sets ◽  
Time Data ◽  
Real Time Analysis ◽  
Large Scale Data ◽  
Implementation Approach ◽  
And Performance

Real-time log analysis on large scale data is important for applications. Specifically, real-time refers to UI latency within 100ms. Therefore, techniques which efficiently support real-time analysis over large log data sets are desired. MongoDB provides well query performance, aggregation frameworks, and distributed architecture which is suitable for real-time data query and massive log analysis. In this paper, a novel implementation approach for an event driven file log analyzer is presented, and performance comparison of query, scan and aggregation operations over MongoDB, HBase and MySQL is analyzed. Our experimental results show that HBase performs best balanced in all operations, while MongoDB provides less than 10ms query speed in some operations which is most suitable for real-time applications.

Wearable system for auditory feedback based on real-time gait analysis: Application on patients with Parkinson's disease

2014 ◽  
Vol 40 ◽  
pp. S19-S20
Author(s):  
A. Ferrari ◽  
B. Milosevic ◽  
F. Casamassima ◽  
L. Chiari ◽  
L. Rocchi
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Gait Analysis ◽  
Real Time ◽  
Auditory Feedback ◽  
Wearable System ◽  
Analysis Application

Real-Time Cost Analysis: Application in Early Intervention

1985 ◽  
Vol 9 (2) ◽  
pp. 98-104
Author(s):  
Daniel J. Macy ◽  
D. Sue Schafer
Keyword(s):  
Early Intervention ◽  
Cost Analysis ◽  
Real Time ◽  
Time Cost ◽  
Analysis Application

scholarly journals Phone Addiction Monitoring : An android Application for Smartphones

2019 ◽  
pp. 1004-1008
Author(s):  
Rishabh Gokhru ◽  
Kautilya Gelot ◽  
Darshit Kotecha ◽  
Piyush Hankare ◽  
Zalak Kansagra
Keyword(s):  
Social Media ◽  
Real Time ◽  
Android Application ◽  
Monthly Basis ◽  
Advanced Algorithm ◽  
Android Platform ◽  
Analysis Application

Phone Addiction Monitor is application which is based on android platform. The “Phone Addiction Monitor” is to developed for manage the time of phone usage and overcome the spending time on social media. Using an advanced algorithm, the app studies your phone usage and calculates addiction score in real time. Show the graph on daily, weekly & monthly basis, so it is easy to analyse the data and manage time. Application show the Analysis application wise so you can see how much time you spend on each application. An adult checks his phone a taping 110 times a day. That makes it once every 14 minutes. And for most people this peak to once every 6 seconds in the evenings. So, people easily track the phone usage

The third age of wireline log analysis: application to reservoir diagenesis

1992 ◽  
Vol 65 (1) ◽  
pp. 377-387 ◽  
Author(s):  
R. C. Selley
Keyword(s):  
Log Analysis ◽  
Third Age ◽  
The Third ◽  
Analysis Application

Valuable Cuttings-Based Petrophysic Analysis Successfully Reduces Drilling Risk in HPHT Formations

2021 ◽  
Author(s):  
Jianlin Chen ◽  
Yanhua Yao ◽  
Yingbiao Liu ◽  
Zhaofei Wang ◽  
Craig Collier ◽  
...  
Keyword(s):  
Real Time ◽  
Fluid Loss ◽  
Bottom Line ◽  
Rock Density ◽  
Drilling Parameters ◽  
Drilling Operations ◽  
Analysis Application ◽  
Time Basis ◽  
Compressional Strength ◽  
Drilling Conditions

Abstract Cuttings data has always been neglected or forgotten as a source of information by many operators. In some areas, it is even common practice to throw away cuttings in order to reduce cost. However, cuttings data can yield a great amout of information to provide great value and support to drilling operations, as well as reduce potential downhole risks. This was evident in wells drilled in remote Western regions of China, where wells typically have high temperature high pressure (HTHP) formations with a true vertical depth ranging between 4000-7000 meters and target formation temperature between 150-160 degrees Celcius. Due to severe drilling conditions, the measurement tools of Logging While Drilling (LWD) and Measured While Drilling (MWD) are at high risk of running into holes. Even due to the high formations’ temperatures is over the bottom line of LWD and MWD tools, the sensors of LWD and MWD cannot work efficiently in such circumstances, increasing the drilling risk and expense. Thus, "blind" drilling is the most reasonable economical choice for local operators. Without sufficient real-time formations’ information, the drilling uncertainties dramatically increase. The fluid loss, pipe stuck, as well as drilling bit damages frequently occur. Currently, there is no successful well that accesses to the target reservoir. The data from the wireline logs and cores cannot be available, as the well is the first exploration well in the block; however, during drilling, only drill cuttings are available for peoples. The creative cutting-based petrophysics models are built for the formation analysis that is able to provide rock density, cuttings gamma, Delta Time of Compressional Acoustic (DTC), Unconfined Compressional Strength (UCS) Index, Caliper Index, Brittleness Index, and Hydrocarbon Index from the cuttings samples at the wellsite on a near-real-time basis. This data can help people quantitatively and qualitatively evaluate the downhole formations on a near-real-time basis and can help people to make a more reasonable decision, and therefore, reduce the drilling risk within a controlled level. The authors provide the several cases to study the cutting models into drilling events, and proves the models are consistent with log and core data, and match the drilling parameters and like ROP, and pumping pressure, as well as torque, and bit performance. LWD and MWD are unable to run into the hole due to high formation pressure and extreme risky hole. The field portable XRF instrument is applied, and the mineralogy and elements input into the models. The cuttings petrophysics analysis application can provide the valuable information for drilling engineers to drill the wells to TD.

Ensuring Smartphone Security Through Real-Time Log Analysis

2021 ◽  
Author(s):  
Samruddhi Raut ◽  
S Raja Prabhu ◽  
Animesh Kumar Agrawal
Keyword(s):  
Real Time ◽  
Log Analysis ◽  
Smartphone Security
Sign in / Sign up

Export Citation Format

Share Document