noesis-ai.com

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TURNING BIG DATA INTO VALUE WITH CUTTING EDGE RESEARCH TECHNOLOGY. Predicting Stuck Pipes during Drilling. The problem of stuck pipes accounts for several billions of dollars worth of non-productive time for oil and gas operators each year. Developing a method to predict this event in real-time has become high priority for the drilling industry. Automatically predicting stuck pipe events is now possible due to modern sensor techniques and advanced data analysis tools. Traditional data mining algorithms a...

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NOESIS | noesis-ai.com Reviews

<META> DESCRIPTION

TURNING BIG DATA INTO VALUE WITH CUTTING EDGE RESEARCH TECHNOLOGY. Predicting Stuck Pipes during Drilling. The problem of stuck pipes accounts for several billions of dollars worth of non-productive time for oil and gas operators each year. Developing a method to predict this event in real-time has become high priority for the drilling industry. Automatically predicting stuck pipe events is now possible due to modern sensor techniques and advanced data analysis tools. Traditional data mining algorithms a...

<META> KEYWORDS

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2 methods

3 papers

4 artificial intelligence

5 predictive analytics

6 noesis ai

7 houston tx

8 info@noesis ai com

9 coupons

10 reviews

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NOESIS | noesis-ai.com Reviews

https://noesis-ai.com

TURNING BIG DATA INTO VALUE WITH CUTTING EDGE RESEARCH TECHNOLOGY. Predicting Stuck Pipes during Drilling. The problem of stuck pipes accounts for several billions of dollars worth of non-productive time for oil and gas operators each year. Developing a method to predict this event in real-time has become high priority for the drilling industry. Automatically predicting stuck pipe events is now possible due to modern sensor techniques and advanced data analysis tools. Traditional data mining algorithms a...

INTERNAL PAGES

noesis-ai.com

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NOESIS – Data Analytics for Computer Systems Management

http://noesis-ai.com/data-analytics-for-computer-systems-management

Data Analytics for Computer Systems Management. To make predictions we first collect historical information. As an example, monitoring systems capture disk utilization on a server by aggregating data over short time intervals. In this case, our historical information collects values characterizing the status of the computer at different time steps. Each value represents the amount of disk utilization, memory utilization, and CPU utilization. We then look for a technique matching the characteristi. This c...

2

NOESIS – Pattern Recognition Enables Creating Maps of Mars Landforms

http://noesis-ai.com/pattern-recognition-enables-creating-maps-of-mars-landforms

Pattern Recognition Enables Creating Maps of Mars Landforms. To develop a robust system for the automatic geomorphic mapping of land surfaces using a fusion of pattern recognition tools, including machine learning, computer vision, and data compression. Noesis strategy is to apply data mining algorithms to quantify points. The project uses topographic data as an input for geomorphic mapping. Utilization of topography over traditionally used imagery makes automation of mapping possible. Ts of Mars surface...

3

NOESIS – Methods

http://noesis-ai.com/methods

Deep Learning: Enhancing your Predictive Models with High Level Representations. Traditional data mining algorithms attempt to search for a predictive model by looking at raw variables that often bear little correlation with the class for prediction. As an example, predicting stuck-pipes during drilling can be extremely complicated when one looks at raw variables that exhibit high interactions and carry little relevant information on their own. A new approach is required to address this type of situations.

4

NOESIS – Predicting Stuck Pipes during Drilling

http://noesis-ai.com/predicting-stuck-pipes-during-drilling-2

Predicting Stuck Pipes during Drilling. The problem of stuck pipes accounts for several billions of dollars worth of non-productive time for oil and gas operators each year. Developing a method to predict this event in real-time has become high priority for the drilling industry. Automatically predicting stuck pipe events is now possible due to modern sensor techniques and advanced data analysis tools. The experiments considered time-based data with fifteen minutes, thirty minutes, and one hour warning w...

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TURNING BIG DATA INTO VALUE WITH CUTTING EDGE RESEARCH TECHNOLOGY. Predicting Stuck Pipes during Drilling. The problem of stuck pipes accounts for several billions of dollars worth of non-productive time for oil and gas operators each year. Developing a method to predict this event in real-time has become high priority for the drilling industry. Automatically predicting stuck pipe events is now possible due to modern sensor techniques and advanced data analysis tools. Traditional data mining algorithms a...

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