2024 Conference
Agenda
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Conference Schedule
Pipeline Simulation Short Course
Monday
May
6
Introductions
7:30 a.m.- 8:00 a.m.
PSSC I – Fluid Properties
8:00 a.m. – 10:30 a.m.

Jon Barley (Emerson)
PSSC II – Pipeline Flow Equations
10:30 a.m. – 11:45 a.m.

Jason Modisette (Atmos International)
Lunch
11:45 a.m. – 12:45 p.m.
PSSC II – Pipeline Flow Equations
12:45 p.m. – 14:00 p.m.

Jason Modisette (Atmos International)
PSSC III – Multiphase Flow in Pipelines
14:00 p.m. – 16:30 p.m.

Ivor Ellul (CiSK Ventures)
Tuesday
May
7
PSSC IV – Real Time Systems & Leak Detection
8:00 a.m. – 10:30 a.m.

Ed Nicholas (Nicholas Simulation Services)
PSSC V – Pipeline Operations & Planning
10:30 a.m. – 11:45 a.m.

Jonathan Fasullo (Kinder Morgan)

Melissa Debevc (Enbridge)
Lunch
11:45 a.m. – 12:45 pm
PSSC V – Pipeline Operations & Planning
12:45 p.m. – 14:00 p.m.

Jonathan Fasullo (Kinder Morgan)

Melissa Debevc (Enbridge)
PSSC VI – Compressor Station Modeling
14:00 p.m. – 16:30 p.m.

Cody Allen (Solar Turbines)
Ice Breaker & Registration Opens
18:00 p.m. – 19:30 p.m.
Wednesday
May
8
8:00 – 8:40 |
PSIG 2410 – A Novel Transfer Function Approximation Using Pade Approximants For Gas Pipeline Transient SimulationCody Allen1, Mauricio de Oliveira2, Roman Zamotorin1, Matt Lubomirsky1 (1. Solar Turbines, 2. University of California, San Diego) The paper begins with an overview of the transfer function approach starting in the late 1970’s through today. The paper then discusses a new approximation technique and why it tends to yield better results than the previous technique that has been used for so many years. A discussion of the results and increased accuracy ensues. The paper ends with conclusions about when the new approximation technique should be superior to the previous technique. |
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8:40 – 9:20 |
PSIG 2411 – Minimizing Ukraine Gas Network Operational Losses in Peace and War Times Using Simulation SoftwareMariia Nedaikhlib, Martin Stýblo, Marko Haulis (SIMONE Research Group) The article will describe the basics for optimization of gas networks in Ukraine (production-technological costs according to the legal framework, calculation of consumption, main aspects of optimization). The experience gained in the calculation of the network in peacetime, the project in the critical conditions of the war period, as well as an example of calculation of losses in case of pipe element damage will be presented. In addition, story of a textbook formula error and the equations for flow/amount of leaked gas will be discussed. |
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9:20 – 10:00 |
PSIG 2412 – Enhancing Pipeline Controller Training Through Hydraulic Simulation – Insights From Boardwalk PipelineFred Miller, Josh Ferguson, Kevin Reyes (Boardwalk Pipeline) This presentation shares our effort with integrating hydraulic simulation with conventional pipeline controller training. We describe the reasons for our approach, the obstacles we faced, and the solutions that have led to our program’s success. |
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10:00 – 10:15 |
Break |
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10:15 – 10:55 |
PSIG 2413 – Pipeline Throughout Prediction in Quality and Quantity Uncertainty ScenariosChristian Nelson Reyes Pabon (CENIT Logistica y transporte de hidrocarburos) This paper discusses throughput prediction in uncertainty scenarios (quality and quantity) by using a novel similarity measure that represents the line fill of a pipe as an ordered set depicted as a vectorial path. This approach identifies days with similar initial line fill and by fetching and by processing throughput of similar days, gives an estimated throughput for the analyzed day. |
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10:55 – 11:35 |
PSIG 2414 – Capabilities and Advantages of the GasModels PackageShriram Srinivasan, Kaarthik Sundar, Sai Krishna Kanth Hari, Anatoly Zlotnik, Anup Pandey, Mary Ewers, David Fobes, Adam Mate, Russell Bent (Los Alamos National Laboratory) We demonstrate a software package for modeling and analysis of the nation’s energy pipeline systems. It provides energy system planners, operators, and federal agency partners modeling and optimization capabilities to predict the consequences and evaluate mitigations and responses to natural hazards and malicious attacks. The software allows both both steady-state and transient use cases and incorporates several popular optimization formulations for problems of this class. |
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11:35 – 12:00 |
Break |
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12:00 – 13:30 |
Lunch |
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13:30 – 14:10 |
PSIG 2415 – How To Use Pipeline Models To Manage Nominations and System BalancingJuan Manuel Gonzalez Navarro, Jose Garcia Gilberto de la Paz (Sempra Infraestructura) This paper discusses the general guidelines program to integrate contract, operational and supply/demand information, and to build thorough hydraulic modeling that allows a natural gas transportation service provider to identify required supply, guarantee delivery pressure conditions, maximize capacity usage, and minimize capacity constraints. |
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14:10 – 15:00 |
PSIG 2416 – Building an Accurate Simulation Model for a Complex Gas Pipeline NetworkYing Liu1, Yuanyuan Tian1, Zhixiang Dai1, Qin Bie1, Guangtao Yang2, Jay Zhang2 (1. PetroChina Southwest Oil & Gasfield Company, 2. Emerson) This paper presents a systematic way of dealing with challenges in a large topologically complex gas network. This approach enables us to build an accurate simulation model for a 6000 km (3728 mi) gas pipeline network, which has over 70 ingress points with different intake pressures and over 400 egress points for different gas delivery requirements, in a short period of time. The model is validated over several actual operational scenarios. This validation includes both steady and transient scenarios. The proposed framework shows its virtue in resilience in dealing with various operations and provides pipeline management precise information needed for daily operation, scheduling, and future expansions. |
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15:00 – 15:15 |
Break |
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15:15 – 15:55 |
PSIG 2417 – Automatic Tuning of Temperature and Pressure coefficients on Pipeline SimulationsVadim Shapiro, John Hooker, Ilya Markevich (Statistics & Control) This paper addresses the formidable challenge of accurately simulating pipeline systems in the context of erratic temperature fluctuations. Focusing on the precision required for thermal modeling, a case study in a Montana town reveals a remarkable 103-degree Fahrenheit swing within 24 hours. Even minor shifts can disrupt the entire system, leading to inaccurate simulations. In response, the paper introduces an innovative solution: real-time automatic tuning of model coefficients. This approach ensures continuous model accuracy, adapting dynamically to diverse environmental conditions and eliminating the need for multiple, finely-tuned models. |