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Domain Knowledge-Based Well Logs Generation and Its Application in AI Modeling
Well logging data plays an important role in reservoir description and O&G resource evaluation. In the era of artificial intelligence (AI),... -
A Study of Objective Evaluation Indicator Based on Robot Activity Logs for Owner Attachment to Companion Robot
People love companion animals as part of the family. However, recently there are some problems such as the anxiety about caring for animals and a...
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Reservoir Rock Discrimination Based on Integrated Image Logs and Petrographic Analysis: A Case Study from the Early Miocene Nukhul Carbonate, Southern Gulf of Suez, Egypt
The discrimination of rock types within the limestones and dolostones of the Nukhul Formation in the West Younis Field (Gulf of Suez Basin, Egypt)...
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Effects of tectonic fracture on reservoir quality of Asmari formation in one of south-west Iranian oilfields using formation micro imager image logs
In fractured carbonate rocks, reservoir quality is controlled by the fracture properties. Fracture system characteristics in naturally fractured...
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Analysis of the UAV Flight Logs in Order to Identify Information Security Incidents
The article discusses issues related to the analysis of the UAV flight logs to identify information security incidents that occurred during flights.... -
Linked List Systems for System Logs Protection from Cyberattacks
A new solution of an important cybersecurity problem has been proposed, namely the protection of system logs based on the use of blockchains. This... -
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Efficient Discrete Particle Swarm Optimization Algorithm for Process Mining from Event Logs
Process mining, which aims to mine a high-quality process model from event log, provides a powerful tool to support the design, enactment,...
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Multilayer Block Models for Exploratory Analysis of Computer Event Logs
We investigate a graph-based approach to exploratory data analysis in the context of network security monitoring. Given a possibly large batch of... -
ILP2 Miner – Process Discovery for Partially Ordered Event Logs Using Integer Linear Programming
Process mining is based on event logs. Traditionally, an event log is a sequence of events. Yet, there is a growing amount of work in the literature... -
Discovering Unseen Behaviour from Event Logs
Process mining techniques aim to discover insights into the performance of a business process by analysing its event logs. These logs capture... -
Fractures Analysis Using Core Data and Image Logs: A Case Study in the Dalan–Kangan Reservoir of South Pars Gas Field, Iran
South Pars Gas Field is the largest gas field in the world. This field in the Persian Gulf and is located on the border of Iran and Qatar. In it,...
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Resistivity Log Prediction in Horizontal Low Formation Quality Well Using Data-Driven Robust Models
The interest in artificial intelligence (AI) predictive models in the domains of petrophysics and well logs has been rapidly growing as it prevails...
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Fuzzy Inference for Well Log Lithology Classification
In the oil and gas industries, lithology classification (characterization of rock samples) is used to improve accuracy in locating new reservoirs.... -
Develop a System to Analyze Logs of a Given System Using Machine Learning
Software error detection is a critical aspect of software development. However, due to the lack of time, budget, and workforce, testing applications... -
Improved invasive weed-lion optimization-based process mining of event logs
Process mining is an approach, which can discover and improve business process through extracting knowledge from event logs created in information...
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Mining Dependability Properties from System Logs: What We Learned in the Last 40 Years
System logs have been extensively used over the past decades to gain insight about dependability properties of computer systems. Log files contain... -
An Anomaly Detection Algorithm for Logs Based on Self-attention Mechanism and BiGRU Model
This paper proposes an anomaly detection algorithm for logs based on self-attention mechanism and BiGRU model to deal with the multiple... -
Poroelastic Analysis Employing the Finite Element Method to Assess the Effect of Changes in the Biot Coefficient on Oil Well Wall Stability
Porous media mechanics is often employed to solve stability issues due to the definition of the Biot coefficient in contrast to the effective...
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A multidisciplinary approach to facies evaluation at regional level using well log analysis, machine learning, and statistical methods
Geological facies evaluation is crucial for the exploration and development of hydrocarbon reservoirs. To achieve accurate predictions of...