Machine Learning as New Approach for Dogleg Severity Prediction

2021 ◽  
Author(s):  
Ayrat Fakhrylgayanov ◽  
Azrin Aik Jun Soh ◽  
Ahmed Osman
Keyword(s):  
Machine Learning ◽  
Curve Section ◽  
New Approach ◽  
Drilling Parameters ◽  
Output Increase ◽  
Severity Prediction ◽  
Final Output ◽  
Data Environment ◽  
Relationship Of ◽  
The Relationship

Abstract Conventionally offset well studies are performed by individuals where the results depend very much on visual perception, interpretation, and experience. In the specific cases for predicting the dogleg severity (DLS) output, the offset well study will take time proportionate to the volume of input, with the results being averaged out and contain high tolerances. In specific projects, these tolerances are larger than accepted, encouraging the service provider to utilize conservative solutions such as rotary steerable system (RSS) with high DLS capability in order to reduce the residual risks. These solutions can often be more costly in terms of maintenance and may add unnecessary tortuosity to the hole leading to issues during execution. This paper explores the concept of using machine learning (ML) to perform offset well study and defining key parameters affecting the DLS output. This concept consolidates the vast volumes of data that have been acquired while drilling and defines the relationship of each parameter to the final output of DLS. The first analysis reviewed five offset wells and found a multivariable correlation between applied drilling parameters to the DLS output. This correlation was then applied in 6 boreholes (3 multilateral wells), observing consistent DLS output increase by 50% using the same technology and optimal drilling parameters. The second analysis uses the same process to determine a planning DLS limit in a curve section over different formations. This paper demonstrates the potential of ML in offset well studies and beyond to predict behavior and define the relationship in a big data environment.

Colonialism and the Highland Clearances

2017 ◽  
Vol 8 (1) ◽  
pp. 22-48 ◽  
Author(s):  
Iain Mackinnon
Keyword(s):  
Industrial Development ◽  
Comparative Approach ◽  
Indigenous Research ◽  
Internal Colonialism ◽  
New Approach ◽  
A Site ◽  
Relationship Of ◽  
The Relationship ◽  
Imperial State ◽  
Late Modern

This article employs a new approach to studying internal colonialism in northern Scotland during the 18th and 19th centuries. A common approach to examining internal colonial situations within modern state territories is to compare characteristics of the internal colonial situation with attested attributes of external colonial relations. Although this article does not reject the comparative approach, it seeks to avoid criticisms that this approach can be misleading by demonstrating that promoters and managers of projects involving land use change, territorial dispossession and industrial development in the late modern Gàidhealtachd consistently conceived of their work as projects of colonization. It further argues that the new social, cultural and political structures these projects imposed on the area's indigenous population correspond to those found in other colonial situations, and that racist and racialist attitudes towards Gaels of the time are typical of those in colonial situations during the period. The article concludes that the late modern Gàidhealtachd has been a site of internal colonization where the relationship of domination between colonizer and colonized is complex, longstanding and occurring within the imperial state. In doing so it demonstrates that the history and present of the Gaels of Scotland belongs within the ambit of an emerging indigenous research paradigm.

Understanding Statistics Cognition

2017 ◽  
pp. 10-56
Keyword(s):  
Cognitive Processes ◽  
New Approach ◽  
Relationship Of ◽  
The Relationship

This chapter focuses on understanding the use of and relationship among the features of statistics cognition: literacy, reasoning, and thinking. We argue that research on statistics cognition is fragmented, which is problematic for understanding how these constructs can be unified to support education. We then review methods of quantifying cognitions, involving studies which have attempted to categorize and parse cognitive processes. This information is then used to synthesize a new approach to understanding statistics cognition, proposing a model which makes specific predictions about the relationship of these features. The model and definitions of cognitions presented in this chapter are used as a basis of discussion cognition throughout the remainder of the book.

Developing a Multisemester Interwoven Dynamic Systems Project to Foster Learning and Retention of STEM Material

2004 ◽  
Author(s):  
Peter Avitabile ◽  
Stephen Pennell ◽  
John White
Keyword(s):  
Dynamic Systems ◽  
Basic Material ◽  
Mathematical Methods ◽  
Introductory Courses ◽  
New Approach ◽  
Science Technology ◽  
Educational Career ◽  
And Mathematics ◽  
Relationship Of ◽  
The Relationship

Students generally do not understand how basic STEM (Science, Technology, Engineering and Mathematics) material fits into all of their engineering courses. Basic material is presented in introductory courses but the relationship of the material to subsequent courses is unclear to the student since the practical relevance of the material is not necessarily presented. Students generally hit the “reset button” after each course not realizing the importance of basic STEM material. The capstone experience is supposed to “tie all the pieces together” but this occurs too late in the student’s educational career. A new multisemester interwoven dynamic systems project has been initiated to better integrate the material from differential equations, mathematical methods, laboratory measurements and dynamic systems across several semesters/courses so that the students can better understand the relationship of basic STEM material to an ongoing problem. This paper highlights the overall concept to be addressed by the new approach. The description of the project and modules under development are discussed.

scholarly journals DSSMFM: Combining user and item feature interactions for recommendation systems

2020 ◽  
Vol 309 ◽  
pp. 03010
Author(s):  
Weishan Zeng
Keyword(s):  
Machine Learning ◽  
Recommendation Systems ◽  
Machine Learning Algorithms ◽  
Model Data ◽  
New Model ◽  
Feature Interactions ◽  
Short Video ◽  
Item Attributes ◽  
Relationship Of ◽  
The Relationship

Effort has been done to optimize machine learning algorithms by applying relevant knowledges in data fields in recommendation systems. Ways are explored to discover the relationship of features independently, making the model more effective and robust. A new model, DSSMFM is proposed in this paper which combines user and item features interactions to improve the performance of recommendation systems. In this model, data are divided into user features and item features represented by one-hot vectors. The pre-training for the model is proceeded through FM, and implicit vectors are obtained for both user and item features. The implicit vectors are used as the input of DSSM, and the training of the DSSM part of the model will maximize the cosine distances of the user attributes vectors and the item attributes vectors. According to the experimental results on dataset of ICME 2019 Short Video Understanding and Recommendation Challenge, the model shows improvements on some results of the baselines.

scholarly journals A Direct Attitude Determination Approach Based on GPS Double-Difference Carrier Phase Measurements

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Jianhua Cheng ◽  
Jing Wang ◽  
Lin Zhao
Keyword(s):  
Carrier Phase ◽  
Attitude Determination ◽  
Double Difference ◽  
Body Frame ◽  
Phase Equation ◽  
New Approach ◽  
Solution Approach ◽  
Relationship Of ◽  
The Relationship ◽  
Attitude Matrix

The principle of the traditional attitude solution approach based on GPS (Global Position System) is to get the attitude matrix according to the relationship of coordinates. During the progress, the error of baseline position assumed in ECEF (Earth-Centered Earth-Fixed) and the error of coordinate transform between body frame and reference frame (ENU, East-North-Up) have been included in the result, and finally the precision of attitude determination is reduced. This contribution presents a new approach of attitude determination, in which the attitude angles are calculated by the double-difference carrier phase equation of GPS according to the relationship of attitude matrix and attitude angles through least-squares estimate method. The new approach predigests the procedure of attitude determination which reduces the error assumed. According to the analysis the precision of attitude determination is higher than that of traditional method. It is shown it gets a precise attitude result with the direct attitude determination method in the simulation. A novel algorithm is proposed to solve some problems. Simulation results show the effectiveness of the proposed algorithm.

scholarly journals Polyharmonic signals and their properties

2020 ◽  
Vol 2020 (3) ◽  
pp. 37-50
Author(s):  
Evgeniy Butyrskiy ◽  
Vitaliy Rahuba
Keyword(s):  
Hyperbolic Function ◽  
New Approach ◽  
Active Location ◽  
Signal Synthesis ◽  
Pros And Cons ◽  
Relationship Of ◽  
The Relationship ◽  
Prospects Of Application

This article proposes a new approach to signal synthesis to ensure the stealth and safety of active location tools, which improves the efficiency of lighting. The work has been classified complex broadband signals, considered the class of polyharmonic and band signals, their pros and cons, the prospects of application in the systems of location, shows the relationship of their signals with hyperbolic function and generalized range Fibonacci.

scholarly journals Artificial Intelligence and the Limitations of Information

Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 332 ◽  
Author(s):  
Paul Walton
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information Processing ◽  
General Intelligence ◽  
Selection Pressures ◽  
Artificial General Intelligence ◽  
Relationship Of ◽  
The Relationship ◽  
The Way

Artificial intelligence (AI) and machine learning promise to make major changes to the relationship of people and organizations with technology and information. However, as with any form of information processing, they are subject to the limitations of information linked to the way in which information evolves in information ecosystems. These limitations are caused by the combinatorial challenges associated with information processing, and by the tradeoffs driven by selection pressures. Analysis of the limitations explains some current difficulties with AI and machine learning and identifies the principles required to resolve the limitations when implementing AI and machine learning in organizations. Applying the same type of analysis to artificial general intelligence (AGI) highlights some key theoretical difficulties and gives some indications about the challenges of resolving them.

scholarly journals Rastafari: towards a new approach

1990 ◽  
Vol 64 (3-4) ◽  
pp. 127-148 ◽  
Author(s):  
Barry Chevannes
Keyword(s):  
Social Structure ◽  
Structure Type ◽  
Cultural Continuity ◽  
New Approach ◽  
Relationship Of ◽  
The Relationship

Author looks at the Rastafari movement not as a purely social structure type of perspective and tries to see it in the context of cultural continuity. He examines the relationship of Rastafari to Revivalism and looks at the structure of the movement itself.

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