Tuesday, November 28
Keynote Presenter: Tom Blasingame, Texas A&M University "Comments and Perspectives on PTA/RTA/DCA"
The RTA/PTA Workshops have been the gold standard for industry and academic collabration. This discussion covers the last 5 years of advancement in the field and ways to implement new and emerging innovations.
CCS/CCUS will play a critical role in reducing CO2 emissions for a variety of industries. But what is actionable today, and how do we de-risk our projects to ensure we meet our goals? Pressure transient testing in CCS projects is essential for reservoir characterization, leakage detection, storage capacity estimation, performance assessment, model calibration, and regulatory compliance. This session will discuss applications of PTA in various aspects of subsurface CO2 storage projects.
|Dylan Lougheed, Saga Wisdom: "Well Test Analysis of CO2 Storage Wells, A PTA Renaissance?”|
|Robert Hawkes, Pressure Diagnostics Ltd.: "In-situ Coal Gasification and Carbon Capture Storage Scheme, a Well Tester’s Perspective"|
|George Koperna, ARI: "Injection Design and Monitoring Protocols for Class VI Wells"|
In this session managers will explain how they use the results of PTA, RTA and DCA to shape their decision making and what challenges they see currently. This session provides a context on the “state of the usage” as a backdrop for the rest of the workshop. The session will include interactive Q&A so the audience will be able to ask questions of the panelists.
|James Tucker, Javelin Energy Partners|
|Chris Talley, Continental Resources|
|Sebastian Matringe, Hess|
|Dilhan Ilk, DeGolyer & MacNaughton|
Technical analysis and decision making are connected through economic value metrics. The session will showcase different cases where rigorous well performance analysis and its corresponding economics resulted in value adding business decisions
|Mathias Carlsen, Whitson: "Use of Multiphase Flowing Material Balance (FMB) to evaluate 29 Refracs in the Eagle Ford"|
|Leopoldo Matias Ruiz Maraggi, UT Austin: "Fast Optimization of the Net Present Value of Unconventional Wells Using RTA Without Interpretation"|
|Awonu Akinrinsola, Chesapeake Energy: "An Integrated Approach for Optimizing Pad Development in Marcellus Using RTA Results"|
Wednesday, November 29
About 15 years ago, deep neural networks have brought a renewed interest in machine learning methods. Since then, it has been understood that the architecture of a neural network is critical to its performance and that it can be tweaked for a variety of problems. Over the past 5 years, new architectures have led to dramatic progress in the performance of machine learning methods for image, language and physics-based problems. This session will highlight a few cutting-edge projects that pertain to production forecasting using advanced machine learning methods.
|Ruben Rodriguez-Torrado, Origen: "Physics-Based Neural Network for Production Forecasting and Field Development Plan Optimization in Conventional and Unconventional Reservoirs"|
|Sid Misra, Texas A&M University: "Rapid Production Forecasting for Hydraulically Fractured Wells in Large, Heterogeneous Shale Reservoir"|
|Raj Banerjee, SLB: "An Application of Deep Learning based Proxy Models for Forecasting and Production Optimization"|
The shale revolution has moved from discovery, demonstration and deliverability to development. This phase brings new challenges: how to optimize field development in the face of changing reservoir conditions.
|Erdal Ozkan, Colorado School of Mines: "New Analytical Solution for Multi-Well Production"|
|Chris Clarkson, University of Calgary: "Quantifying the Effects of Parent-Child Communication Using Dynamic Fluid-in-Place Calculations"|
|Vincent Artus, Kappa Engineering: "Multiwell Transient Model for Fractured Horizontal Wells with Complex Geometries"|
Completion operations monitoring and diagnostics tools play a crucial role in analyzing wellbore conditions, understanding well interactions and optimizing production. In this session, we will cover a range of diagnostic tools such as offset well pressure monitoring, fiber optics distributed sensing, microseismics, machine learning-based approaches, integrating surface pressure data, and advanced analytics combined with geomechanical modeling. These tools aim to optimize reservoir contact and production by analyzing various data sources and employing innovative techniques.
|Charles Kahn, Reveal Energy Services: "Offset Pressure Derived Fracture Geometries - and Link to RTA"|
|Carlos Miranda, Hess Corporation: "CumPI and Numerical RTA: A Simple Method for Well Performance Analysis"|
|Dana Jurick, Neubrex: "Fiber Optics Methods Used for Well Production Performance Diagnostics and Showcase of Examples from North American Unconventionals"|
This session will illustrate the implementation of rate and pressure analysis for the improvement of operational strategies and decision making for unconvention reservoir development. Examples of these strategies include early time flowback optimization, improved well performance forecasting, development planning, well spacing and artificial lift optimization.
|James Ewert, Marathon: "RTA Applications in the Real World"|
|Lawrence Camilleri, Camilleri Associates: "Measuring Skin and PI with PTA in unconventionals"|
|Eric Bryan, DeGolyer & MacNaughton: "Refracturing candidate selection based on RTA"|
Thursday, November 30
This session will begin with a comprehensive review of key concepts covered in the previous day's sessions. This session will then dive into the intricacies of Bottom Hole Pressure calculations, a critical aspect of reservoir characterization and well performance evaluation.
|Hardik Zalavadia, Xecta: "Continuous Bottomhole Pressure Estimation Using Hybrid Machine Learning and Physics-based Methods"|
|Katya Stalgorova, S&P Global: "Comparison of Multiphase FMB's"|
|Tom Blasingame, Texas A&M University and Dilhan Ilk, DeGolyer & MacNaughton: "Diagnostic Driven Multiphase Well Performance Analysis"|
A Field Development Plan encompasses the production expectations corresponding to a given development strategy, sequenced in a chronologically and operationally achievable order. Additionally, it considers other production impacts such as expected child production degradation, LPO associated to FDIs, as well as planned and unplanned downtime. This sessions introduces cases of study highlighting how physically robust production forecasts have significant impact over the Full Field Development plan and resulting project economics.
|Chris Ponners, Resfrac: "Generalizing the DQI Method - Predicting Production Interference for Generic Gun Barrett Configurations"|
|Alex Valdes-Perez, Kappa Engineering: "Integrated RTA-DCA Evaluation via a Segmented Power-Law Model"|
|Dave Anderson, SagaWisdom and Alejandro Lerza, Chevron: "From RTA to ROI: Workflows for Making Better Field Development Decisions"|