Chairs: Dennis Dria, Myden Energy Consulting; Steven Mathias, Interpretive Software

Keynote Presentation:

Exploring the Value of Information (VOI) in Fiber Optic Technology - An Integrated Overview
Gregorio Gonzalez Gomez, Shell International Exploration and Production 

Chairs: Baishali Roy, ConocoPhillips; Joel Le Calvez, SLB

Over the last few years there has been significant DAS data quality improvements for seismic applications through advances in both fiber and interrogator technologies, as well as new processing techniques. This session will explore advancements in fiber technologies - hardware to processing, fit-for-purpose cable designs focusing on novel applications supporting the energy industry.            

Continuous Seismic Monitoring with Fiber-Optics DAS and SOV Source Reveals Fracture Dynamics During Hydraulic Fracturing
Julia Correa, Lawrence Berkeley National Laboratory       

Efficient ML Models with Sampling: A Case Study in Microseismic Event Detection     
Ayush Goyal, Lightscline       

Fiber-Based Microseismic Monitoring for Enhanced Geothermal Systems: An Operator’s Perspective               
Aleksei Titov, Fervo Energy   

Introduction, review of delivered work, and update on current initiatives

Chairs: Doug Norton; Terra15; Joel Le Calvez, SLB

The primary challenge involving the integrity monitoring of pipelines and wellbores is providing a high confidence level of the asset’s integrity assessment based on the interpretation of the monitoring system data.  The copious data from DFOS technologies coupled with the recent advancements in machine learning and AI are providing more reliable and hence more valuable information regarding the status of these assets and any potential impact to the environment and personnel.  This session explores case histories, lessons learned, and the solutions to asset integrity and flow assurance issues in the upstream and midstream markets.  Presentations will highlight the value of conclusions made from the DFOS data and their impact on installation practices, event detection challenges and tradeoffs, and new features and capabilities.

Pipeline Monitoring - Using Machine Learning        
Safil Sunny, Tranzmeo             

Fiber Optic-Assisted Well Intervention        
Ivan Lim Chen Ning, Chevron             

Pipeline Third Party Intrusion Detection with DAS and Machine Learning            
Mathieu Champion, FEBUS

Chairs: Richard Temple, Chevron; Gregorio Gonzalez-Gomez , Shell; Brian Seabrook, Exxon Mobil

The energy transition involves many different technologies – from Geological Carbon Storage to geothermal and renewable energies. Common to all these technologies is the need to provide monitoring solutions to ensure safe and efficient operations. Fiber optics play a crucial role in Carbon Capture, Utilization, and Storage (CCUS) projects by providing advanced monitoring and sensing capabilities. These systems are essential for ensuring the safety, efficiency, and effectiveness of CO2 storage. Distributed sensing has already proven extremely valuable for CCS with numerous examples of 4D VSP acquired with fiber in projects worldwide (CO2CRC in Otway, Australia, SECARB in Citronelle, AL, USA, Aquistore, Canada), as well as (micro) seismic monitoring for geothermal (Forge). Other applications, such as strain and temperature monitoring, are also very promising. This session will cover case histories in the broad context of energy transition and will seek to demonstrate how distributed sensing can support the energy transition.

A Fiber Optic Journey in the CCS World: The Quest Story
Gregorio Gonzalez-Gomez, Shell     

Intelligent Fiber Sensing: AI & Deep Learning Powered, Hardware-Agnostic Real-Time CCS Well Monitoring   
Safil Sunny, Tranzmeo             

DSS Systems for H2 storage - Comparison of Various Downhole Fiber-Optic Cables Using Lab-Scale Experiments
Michel LeBlanc, Halliburton

Chairs: John Lovell, MicroSilicon; Jeff App, Chevron; Kyle Friehauf, ConocoPhillips

With increasing use of distributed sensing over the past decade, previously available qualitative observations are now being transformed into quantified measures such as rates, distances and phase distribution. This session will let colleagues share and discuss leading work in quantitative interpretation solutions for measurements in the pipe, well and near wellbore.

Time Lapse Multiphase Production Profiling with Transient Thermal Approach
Dmitry Kortukov, SLB        

Oil-Water Flow Measurement Using Distributed Acoustic Sensing           
Yilin Fan, Colorado School of Mines              

Enhancing Production Profiles Using DAS & Production Logging Data   
Caroline Godefroy,  Interpretive Software

Chairs: Don Craig, BP; Brian Seabrook, Exxon Mobil

Distributed fiber optic sensing has been used in the oil & gas industry for over 20 years for in-well, reservoir, facilities and pipeline applications.  Increasing adoption of this sensing technology has brought forward newly discovered value cases as well as challenges associated with installation of permanently deployed DFO systems.  This session will focus on sharing value of information (VOI) success stories, new and improved DFO deployment methodologies or other related DFO technology advances. 

Understanding and Mitigating Uncertainties in Disposable Fiber Deployment for Hydraulic Fracture Monitoring           
Kan Wu, Texas A&M University           

Fiber Optic Monitoring with Downhole Wet Connect in Clair Field: Value Drivers, Lessons Learned, and Improvements          
Gabriel Isaicu, BP; Fernando Kirnbauer, Baker Hughes

Evaluating Offset Strain Response on a Single Wellbore Equipped with Permanent and Disposable Fiber
Casey Cox, Halliburton

Chairs: Kyle  Friehauf, ConocoPhillips; Faraaz Adil, Halliburton

This session will present examples of stimulation monitoring using distributed sensing methods utilizing fiber optic sensing. These diagnostics are critical for evaluating completion effectiveness and cross well interactions on well pads with multiple treatment intervals and multiple wells. Inflow distributions are also presented to illustrate relative flow contributions from each interval, and within intervals, and the dynamic flow behavior with time.  This session will also focus on decision making that leads to optimized completions/asset development. 

From Signal to Flow: Controlled DAS Experiments for Real-Time Hydraulic Fracture Diagnostics   
Roman Korkin, SLB

Large-Scale Bedding Plane Slippage and Its Impact on Hydraulic Fracturing: Integrated Analysis from Field Observations in the Eagle Ford and Austin Chalk Formations
Ge Jin, Colorado School of Mines

Utilization of Fiber Optics to Delineate Fluid Flow, Reservoir Performance and Future Completion Improvements
Rose Petroleum

Chairs: Bill Shroyer, SageRider; Pavel Nazarenko, Baker Hughes

This session aims to showcase new optical sensing technologies and methodologies, whether specifically designed for E&P or coming from other industries. Whether emerging or enabling, a special focus will be placed on demonstrating how the implementation of those technologies can bring significant value to fiber-optic deployment and its use, and how they can unlock new applications for reservoir surveillance, operations evaluation, and well interventions. The session will also illustrate how integration of various types of measurements can be leveraged to improve the economics and lower the risks of O&G operations.       

Practical Demonstration of Distributed Hydrogen Sensing With Temperature Compensation             
Paul Wysocki, Baker Hughes              

Importance of Downhole Cables and How to Maximize Your Return on DFOS Investment     
Kinzo Kishida, Neubrex           

Raman Detection of CO2 Gas Using Hollow-Core Optical Fiber for Subsurface Applications  
Brandon Demory, Lawrence Livermore National Laboratory

The Edgar Mine Tour is an optional post-workshop activity taking place on Thursday, 7 August in Idaho Springs, CO. 

This tour is not affiliated with the SPE Workshop.  It has been kindly organized by CSM faculty as a unique experience for workshop attendees.  

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