Revised: Presentation of my SCADA-Petroleum Engineering Suite
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The document discusses developing a fully integrated cloud-based SCADA and data analysis software suite. It aims to break down barriers between operations, engineering, and business development. The software will perform customizable analyses and reporting tied to a single data source. It will also incorporate reservoir engineering tools like rate transient analysis, production engineering models, and real-time connectivity to oil and gas price data. The overall goal is a visual development environment for advanced flow analytics across mobile, desktop and cloud platforms.
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This document provides a summary of an instrumentation and automation professional's skills profile. It outlines over 8 years of experience in instrumentation, automation engineering, project maintenance, and process industries. Key skills include instrumentation, automation networks, PLC, SCADA, maintenance planning and execution, project management, and industrial safety standards. Recent experience includes roles as Assistant Manager at DCM Shriram Industries responsible for instrumentation and automation systems, and previously as an Engineering Officer at Nestle India responsible for project maintenance.
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Robert Cahill Resume Pump Up
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Session T4 - Deliverables Management - A strategic Opportunity
The document discusses deliverables management challenges in large construction projects and presents a digital solution. It notes the scale of documentation, complexity of collaboration across teams, and risks of using spreadsheets. A strategic opportunity exists to improve productivity and reduce costs by 30% through an integrated project management system that connects planning, cost control, documentation, and collaboration across the project lifecycle. Questions are invited from the audience.
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Balaji Sreenivasan - Founder and Chief Executive Officer, Aurigo Software Technologies
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This document is a resume for Melissa Urdaneta Watts, a mechanical engineer with over 10 years of experience in the oil and gas industry, specializing in artificial lift systems. She has held engineering roles with Baker Hughes and Incalca.CA, working internationally in Venezuela and domestically in Oklahoma and Texas. Her experience includes design, optimization, project management, and technical support for ESP systems, as well as failure analysis, manufacturing support, and production optimization.
Al Mutim Resume
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Al Mutim Resume
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Integrated Asset Modeling for Market Driven Gas Planning - GasAssure
GasAssure is a fully integrated asset modeling solution (IAM) for market-driven gas planning, which enables long-term gas forecasting to support key commercial decision making. It delivers a unique "reservoir to market" solution, allowing for short, medium and long-term gas planning from source, through processing and delivery, right up to the allocation of resources to meet the market demand.
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This document outlines the vision, mission, services, and capabilities of an engineering solutions provider. Their vision is to be the leading innovative solutions provider in their industry. Their mission involves being responsive to customers, providing quality services, adopting new ideas, ensuring growth and rewarding employees. They specialize in integrated engineering solutions for oil, gas, marine, and renewable energy. Their services include project management, pipeline engineering, structural engineering, and more.
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Session T4 - Deliverables Management - A strategic Opportunity
Session T4 - Deliverables Management - A strategic Opportunity
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Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
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Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
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Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
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Cooperation Organisation and the Belt and Road Economic Initiative.
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
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our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
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Understanding Inductive Bias in Machine Learning
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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
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solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
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### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
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- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
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- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
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- **Efficient Use of Bandwidth**: TDM all
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Revised: Presentation of my SCADA-Petroleum Engineering Suite
- 1. Advanced Flow Analytics Development of Real-Time Engineering Applications C.L. Jordan
- 2. Biography • Colin Jordan • More than 20 years of commercial software development for the oil and gas industry focusing on reservoir characterization, production optimization, and flow assurance. With petroleum engineering expertise in Canada, United States, Europe, Asia, and Australia, Colin’s experience ranges from pressure and rate transient analysis to full field development plans (including economics) for conventional and unconventional projects.
- 3. Objective • My objective is to fully integrated cloud based SCADA and data analysis (reservoir to production analysis) hardware and software suite. • Develop a solution with technology to breakdown barriers between operations, engineering, and business development. • Customizable analyses and reporting tied to a single data source (such as SCADA, API’s, Online Data,) ensuring rapid delivery of information and results. • Perform development in a highly visual and modern development environment with interfaces designed with the latest technology.
- 4. Proposed flow process? Leadership • Dashboard Results • Mobile Devices • Desktop • Cloud (?) Engineers / Technical • Analysis • Production • Reservoir • Process Operations • Process Analytics • Controller performance • Reliability analytics All customizable for any particular client or level of management Process & Petroleum Engineering Modules Cloud SCADA
- 5. Potential application to control and analyze controllers, valves and much more Perhaps model PVT, fluid behavior, and/or identify drift, dead space, hysteresis effects and potential failure
- 6. Flow assurance applications We have/are developing a number of PVT apps including: Oil, Gas, Water, Hydrates, and even Glycol models
- 7. Reservoir engineering applications I have begun development of a number of reservoir models and analytics (for conventional and unconventional systems incl. CBM/CSG). Predominantly Rate Transient AnalysisTracking of OGIP per well or group of wells Field Data Model
- 8. I am incorporating a number of the classic reservoir engineering tools such as rate transient analysis. Diagnostic plots such as Blasingame Plots to Flowing Material Balance, and even Shale Decline Models Reservoir engineering applications
- 9. Daccord,Volumetric & Schetcher Acid Injection Models Production engineering applications Wormhole & Skin Relationships Adaptation of Furui Completion Skin Models
- 10. Real-Time Web Connectivity I am are integrating advanced modeling and forecasting algorithms which can be applied to general data such as financials or even oil and gas prices. In this example, Real-Time oil and gas prices are obtained from the EIA and processed using an 1 to 3 order interpolation procedure, and forecasted using a stochastic process model
- 11. On-going and in-development • Perforation Models • Wellbore skin, • Formation damage • Wellbore Modelling & Fluid Mechanics • Liquid loading • Wellbore and pipe losses • Rate Forecasting • Single and multi well • Vertical, horizontal, and complex wells • Conventional & Unconventional I have validated science and theory and are currently developing the interface for quick and ease of use.
- 12. Other Developments I have moving into processes and instrumentation modelling, with the goal of physics based cyber and virtual sytems, as well as SCADA
- 13. Development Environment • Most code originally developed in Visual Basic, and/or Java • Currently being converted to a visual programming language with high mathematical and modelling capability • Highly adaptable for cloud deployment, as well as mobile devices.