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Presentation Archive

Please check out our presentation archive. We post our past presentations when they are available. If we have a video of the event, this will be linked here too. 

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13 Feb 2019

SPE YP | Lunch & Learn: Fracture-Driven Interference and Application of Machine Learning...

When: Wednesday, February 13, 2019 | 11:30 AM

Where: Liberty Oilfield Services | 950 17th Street #24, Denver, CO 80202

Title: Fracture-Driven Interference and the Application of Machine Learning to Improve Operational Efficiency.

Speaker: Hayley Stephenson, Reservoir Analytics Engineer, Baker Hughes, a GE Company


There has been a significant amount of progress made applying data science techniques in the oil and gas industry over the last few years. These applications have occurred in all aspects of upstream, midstream and downstream sectors, but it is perhaps fair to say that direct application to reservoir centric challenges has not enjoyed as much success as when it has been applied to aspects of the value chain that experience direct observation and measurement by operators (e.g. optimization of facilities). Reservoirs, by their nature, introduce vast degrees of uncertainty due to their imperfect characterization and sporadic measurement and perturbation. Here we touch on several reservoir workflows incorporating data science and dive deep in to specific example involving frac hit mitigation.


Frac hits are a form of fracture-driven interference (FDI) that occur when newly drilled wells communicate with existing wells during completion, and which may negatively or positively affect production. An analytics and machine-learning approach is presented to characterize and aid understanding of the root causes of frac hits. The approach was applied to a field data set and indicated that frac hits can be quantitatively attributed to operational or subsurface parameters such as spacing or depletion. The novel approach analyzed a 10-well pad comprising two ‘parent’ producers and eight ‘child’ infills. The analysis included the following data types: microseismic, completion, surface and bottomhole pressure, tracers, production, and petrophysical logs. The method followed a three-step process: 1) use analytics to assess interference during the hydraulic fracturing and during production, 2) catalogue or extract feature engineering attributes for each stage (offset distance, petrophysics, completion, and depletion) and 3) apply machine-learning techniques to identify which attributes (operations or subsurface) are significant in the causation and/or enhancement of inter-well communication. Information fusion with multi-modal data was also used to determine the probability of well-to-well communication. The data fusion technique integrated multiple sensor data to obtain a lower detection error probability and a higher reliability by using data from multiple sources. The results showed that the infill wells completed in closest proximity to the depleted parents exhibit strong communication. The machine-learning classification creates rules that enable better understanding of control variables to improve operational efficiency. Furthermore, the methodology lends a framework that enables the development of visualization, continuous learning, and real-time application to mitigate communication during completions.

Hayley is a reservoir analytics engineer at the BHGE Oil and Gas Technology Center. Her experience is in large scale data analytics and algorithm development, with an emphasis in reservoir data. Since joining BHGE in 2016, Hayley has had the opportunity to rotate between product lines and technology development, gaining experience in new product innovation, statistical analysis, and reservoir analytics development. These opportunities have led her to her current role where she works with geoscientists and digital experts to turn technical requirements into functional prototype algorithms, providing optimized solutions to customer problems. Hayley holds a B.S. in Mechanical Engineering from Oklahoma Christian University and is currently pursuing her M.S. at Georgia Tech. 


RSVP Link: YP Lunch & Learn

20 Feb 2019


When: Wednesday, February 20, 2019 | 11:30 AM

Where: Denver Athletic Club | 1325 Glenarm Pl., Denver, CO


21 Feb 2019 REGISTER

FACILITIES STUDY GROUP | DJ Basin Production Equipment Corrosion

When: Thursday, February 21st, 2019 | 11:30 AM to 1:00 PM

Where: Granite Tower - Anadarko's 7th Floor Conferene Center | 1099 18th St. (18th and Arapahoe) Denver, CO

Title:  DJ Basin Production Equipment Corrosion – One Operator’s Observations

Speaker(s): Eric Onacila, Jacob Behling, Anadarko Petroleum Corp.

Short Description:  An investigation of production equipment corrosion with an overview of prevention and mitigation methods.

Sponsored by: 

22 Feb 2019

SPE 39th Annual Winter Racquetball / Handball Tournament

When: February 22, 2019 | 12:30 p.m.

Where: Denver Athletic Club | 1325 Glenarm Pl, Denver, CO 80204

What: Racquetball / Handball

All skill levels. Ticket includes baquet with drinks, food, awards and door prizes.

Sponsorship available:

  • Platinum for $600
  • Gold for $450
  • Silver for $300


For sponsorship questions, please contact John: 

Link: Racquetball 2019

26 Feb 2019 REGISTER

CONTINUING EDUCATION | Artificial Lift and Production Optimization Solutions

When: Tuesday, February 26th and Wednesday, February 27th, 2019 | 8:00 AM - 5:00 PM

Location: Liberty Oilfield Training Room, 950 17th Street, Floor 24 Denver, Colorado 80202


Members: $1400

Non-Members: $1800

Registration Cutoff: Tuesday, February 12th, 2019


This course is designed to give trainees an overview of various artificial lift solutions and related production optimization concepts. After introducing participants to the need for an artificial lift system, training will focus on each of the following lift methods: Gas lift, Reciprocating Rod Lift, Progressing Cavity Pumping, Hydraulic Pumping, Electrical Submersible Pumping, Plunger and Capillary System. For each lift type, the course covers main components, application envelope, relative strengths and weaknesses. Animations, field cases, and example-calculations are used to reinforce concepts. A unique feature of this course is discussion on digital oil field as applicable to lift optimization. The course will close with a discussion session wherein trainees would discuss their challenges and plans for lift systems with a view to understand applicability of the concepts learned during the training.

Learning Level

Intermediate to Advanced, depending on course length selected.

Course Length

2-5 Days (The course length may be adjusted to meet the learning level of the target audience.)

Why You Should Attend 

Every oil and gas well requires a lift mechanism at some time-point. Often times during a well’s life cycle, changing conditions, necessitate switching from one to another lift method. Each lift system’s applicability often overlaps with other lift systems and it is important to understand when to use one and why not to use another. This course while providing instructions at awareness level will arm attendees with sufficient details to participate in informative decision making process.

Who Should Attend

Anyone interested in learning about lift systems application. Production and field operations engineers, operators, geoscientists, and reservoir engineers who wish to understand the implications of lift systems on their field/reservoirs.

Special Requirements

Calculator for example calculations.


Engineers are responsible for enhancing their professional competence throughout their careers. Licensed, chartered, and or/ certified engineers are sometimes required by government entities to provide proof of continued professional development and training. Training credits are defined as Continuing Education Units (CEUs) or Professional Development Hours (PDH). Attendees of SPE training courses earn 0.8 CEUs for each day of training. We provide each attendee a certificate upon completion of the training course.

Cancellation Policy

All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14 day window will not be refunded.  Refunds will not be given due to no show situations.

Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page.  Please check that page for specific cancellation information.

SPE reserves the right to cancel or re-schedule courses at will.  Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements. 

We reserve the right to substitute course instructors as necessary.

Full Regional cancellation policies can be found at the “Cancellation Policy” link on the SPE Training Course Catalog page:


Dr. Rajan Chokshi works as Optimizer for Accutant Solutions of Houston – A training and consulting services provider for production optimization. 

In a career spanning over 30 years, Chokshi has worked on petroleum and software engineering projects globally in the areas of multi-phase flow, artificial lift design, and production optimization in oil and gas industries for national oil company and service providers. He continues to consult and teach professional courses in these areas. His interests are developing and nurturing young talent globally, technology integration and commercialization.  

Dr. Chokshi is a Society of Petroleum Engineers’ Distinguished Lecturer for the 2015-2016 year. He also serves on the SPE global committees for training and production awards. He holds a Bachelors and a Masters in Chemical Engineering from the Gujarat University and IIT-Kanpur, India respectively; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.


Other Courses by Instructor

1 Mar 2019

SPE & DAPL | 2019 Ski Fast Oil Bash

When: March 1-3, 2019

Where: Copper Mountain

Welcome to the annual Oil Industry Ski Trip! This year, SPE and DAPL are partnering up to make a true Oilfield Ski Bash! Don thy onesie and prepare your favorite mountainside drinking container, for this year is sure to be the best year of petroleum shenanigans to hit the slopes since 2015! We'll have a ski bus traveling up on Friday, après ski party Friday, and other networking opportunities for the remainder of the weekend. More details will be provided in February! Registration this year is a-la-carte. You can have a fun ski day on Friday OR stay for the entire weekend! If you plan to ski for all 3 days, make sure to buy 3 lift tickets. The over 30 year tradition of the après ski party on Friday will be hosted at the base of Copper. Feel free to attend even if you don't ski!  If you don't take the bus up on Friday, then be sure to pick up your lift tickets prior to March 1 from Tabatha at the DAPL offices: 535 16th. St Suite #850, Denver, Colorado 80202 ( Registration closes on February 14, 2019 ...  don't miss the window! We have plenty of opportunities to sponsor! Descriptions for each of these options is in the ticket section. If you would like to mail a check instead of registering online (to avoid fees), please email Mark ( at SPE or Meg Gibson (; 720.515.5580) at DAPL.


RSVP Link: 2019 Fast Oil Bash

13 Mar 2019

SPE YP | Lunch & Learn: Integrating Rock Properties and Fracture Treatment Data...

When: Wednesday, March 13, 2019 | 11:30 AM

Where: Liberty Oilfield Services | 950 17th Street #24, Denver, CO 80202

Title: Integrating Rock Properties and Fracture Treatment Data to Optimize Completions Design.

Speakers: Joel Mazza, Technical Solutions Manager & Carrie Glaser, Pethropysist, FractureID


A horizontal well landed in a single formation rarely encounters homogeneous rock from the heel to the toe of the wellbore. When analyzing treatment responses that occur during hydraulic fracturing, a decreasing trend in surface treating pressure in sequential stages is typically attributed to reduced friction within the casing or frac string. However, there are several variances in treating pressure that are not readily explained by examining the surface pressures and pipe friction in isolation. These variances are also apparent when looking at bottom hole injectivity. Combining surface data and geomechanical data quickly reveals the degree of variability in rock properties along a lateral and the impact that variability can have on a completion, leading to a more optimal design. This paper demonstrates how engineers can take advantage of their most detailed completions and geomechanical data by looking for trends arising from past detailed treatment analyses and applying that gained knowledge to future completions.

This study relies on the analysis of proprietary high-resolution geomechanical data derived from the processing of accelerations measured at the drillbit and high-frequency fracture treatment data recorded at one-second intervals. The data were standardized to a common format, screened for quality control, normalized, and analyzed using a data management platform. The methodology combines critical mechanical rock properties such as Young's Modulus, and Poisson's ratio with high-frequency fracture treatment data, including treating pressures, rates, and fluid and proppant volumes. Further application of the geomechanical data to derive brittleness allows for construction of a more predictive petromechanical model to optimize completion approaches.

A brief analysis of past completions indicated virtually no correlation between gamma ray measurements along the stage and fracture treating conditions. However, when evaluating high-resolution mechanical rock properties along the lateral, a much more useful correlation exists between minimum horizontal stress variations (calculated from Poisson's Ratio) and eventual treating pressure and proppant placement difficulties. Calculated brittleness and bottomhole injectivity (which accounts for changes in slurry rate and pipe friction) also show a relationship, especially when cluster efficiency factors are included. This study of six Eagle Ford wells suggests that rock properties are the dominant variables affecting fracture treatment pressure and bottomhole injectivity. This method can be used to predict trouble stages, improve operational efficiencies, and optimize proppant placement.

This paper proposes a process to improve completion efficiency while demonstrating the value of information contained in high-resolution and high-frequency datasets. Historically underutilized, these datasets are playing an increasingly prevalent role in advanced analytics due to improved and novel technologies for data management and interpretation. This process is useful to ask better questions and to improve critical decision making with real data.

RSVP Link: YP Lunch & Learn

19 Mar 2019

DGS | 25th Annual 3D Seismic Symposium

When: Tuesday March 19, 2019 | 8:30 a.m to 5:00 p.m.

Where: Ellie Caulkins Auditorium, Denver Center for the Performing Arts Complex

The 25th annual 3D Seismic Symposium, sponsored by the Denver Geophysical Society (DGS), will be held Tuesday 19 March, 2019 at the Ellie Caulkins Auditorium, Denver Center for the Performing Arts Complex in downtown Denver, Colorado. This year’s theme, 3D Seismic Symposium Silver Anniversary, celebrates the 25 year history of the 3D Seismic Symposium with a program that is a rich mix of case studies from across the United States and leading-edge technology workflows.


Dr. Joe Davis of Kalnin Ventures will kick off the day by outlining his petroleum system-based methodology for risking unconventional plays in his talk Defining Unconventional Sweet Spots.  And Chris Wright, CEO and Chairman of Liberty Oilfield Services, Executive Chairman of Liberty Resources, and founder of microseismic pioneering Pinnacle Technologies, will energize the lunchtime crowd with his observations and learnings of unconventional resources.


Presentations on complex interpretations include overthrust depth imaging in Beaver Creek Field, Wyoming from Devon Energy’s Robert Horine, and geosteering high angle, Lycoming county Marcellus horizontal wells by Bob Grundy of Inflection Energy.  Continuing the complexity theme, Laurence Letki, DUG, will present seismic acquisition and processing challenges in the SCOOP play of Oklahoma.


California Resources’ Darren Williams will discuss derisking unconventional reservoirs through integrated data analysis while Chad Severson, Aera Energy, will discuss delineation of tectonically controlled submarine channels with seismic attributes, both highlighting work in the San Joaquin Basin. 


Multiple aspects and scales of the Permian Basin will be on show throughout the program.  In the Midland Basin, Aaron Fisher, of Tracker Resource Development, will outline the use of 3D seismic to map rock quality and landing target selection while QEP’s Cory Christie will discuss using geophysical applications to identify and minimize well interference.  Details of the Delaware Basin will be revealed through data integration studies as Devon Energy’s Marianne Rauch-Davies will discuss pore pressure prediction and rock properties insight from the Bone Springs Limestone and Wolfcamp will be outlined by Andrew Lewis of Fairfield Technologies.  Scott Cook of Tricon Geophysics and Mike McKee of Jetta Permian LP will present Wolfcamp fracture hazards as highlighted with the use of HTI fracture analysis.


As the use of fiber continues to gain traction in the industry, two presentations will discuss various applications of distributed acoustic sensing (DAS). Ge Jin, ConocoPhilips, will present the value of different frequency ranges of DAS data for well spacing and completion design optimization.  Gary Binder, of Colorado School of Mines, will discuss the value of incorporating time-lapse vertical seismic profiling (VSP) and DAS data together to identify stress induced velocity changes.



Registration and sponsorship is open and available through the DGS website:


Please contact committee chairs Angie Southcott and Brad Birkelo for more information at

20 Mar 2019


When: Wednesday, March 20, 2019 | 11:30 AM

Where: Denver Athletic Club | 1325 Glenarm Pl., Denver, CO


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