SPE Denver/AADE March Madness Happy Hour 2026
2026-03-19 16:30 - 18:00 (America/Denver) | Rhein Haus – Denver, 1415 Market St, Denver, 80202, United States
TBD

Register Here

SOCIAL BLEND with Social Octane
2026-04-02 16:00 - 19:00
Thursday April 2, 2026 4-7pm
Wynkoop Brewing Co.
1634 18th Street, Denver CO
Register Here

SPE Denver General Meeting April 2026
2026-04-15 11:30 - 13:00 | Rock Bottom Restaurant & Brewery, 1001 16th Street, Unit Ste A-100, Denver, Colorado, 80265, United States
A View of the Private US Oil and Gas Market and Potential Implications for L48 Exploration
1. The private US oil and gas market is currently adequately capitalized but opportunity poor
1. 25+ funded private equity-backed teams focused on capturing scaled US onshore asset
2. Target asset profile: meaningful PDP/cashflow + remaining development drilling (inside of well control)
3. US onshore asset divestiture market opportunity set currently insufficient to satisfy private capital demand
2. What are the implications?
1. Many funded teams will not be successful in capturing asset in time allowed
2. To capture assets, teams and private capital providers must either accept lower return (i.e. stretch on underwriting) and/or take more risk
3. Private capital providers can take more risk in the following ways
i. Financial risk – take on more acquisition leverage. Capital providers already doing this.
ii. Location/regime risk – target PDP + development assets in non-US L48 locations/regimes (e.g. Alaska, Canada, Argentina, GOA). Capital providers evaluating this.
iii. Geologic risk – step outside of well control to find more oil / take “exploration” risk . Capital providers evaluating this.
3. Conclusion
1. At this point it is not yet clear to what extent (or when) private capital will pivot to take exploration risk in L48
2. A changing commodity price regime could provide the catalyst to take more risk and find more oil
3. Long term $60 WTI strip (as of mid-October) may be insufficient to cause oil supply growth to meet demand if believe US unconventional represents the marginal bbl
Matt Loreman BIO
Matt has 20 years of experience in energy industry. Matt is currently President of Development Capital Resources (DCR), a firm with over $500 million in oil and gas investments. In addition to DCR, he simultaneously served as President of ECR, a company with $800 million in electric generation and gas processing investments. Previously, Matt served as a Managing Director in Evercore’s Energy Investment Banking group in Houston. While at Evercore, Matt focused on the upstream space and executed a variety of merger, acquisition, divestiture, capital raising and restructuring transactions. Prior to joining Evercore, Matt worked in the Energy Investment Banking group of J.P. Morgan in Houston. Matt advised invested and advised clients on transactions in a variety of plays and basins including: Delaware Basin, Midland Basin, STACK/SCOOP, Eagle Ford, Bakken, DJ Basin, Marcellus/Utica, Barnett, California, Rockies Gas, Haynesville, GOM and International Offshore. Mr. Loreman has served on the board of directors of 3 privately-held energy companies. Matt holds a B.A. in Economics, English and Philosophy from Rice University.

Register Here

SPE Technical Happy Hour: April 2026
2026-04-23 16:00 - 18:00 | Liberty Energy, 950 17th St Suite #24, Denver, CO, 80202, United States
Description

Host: Society of Petroleum Engineers, Denver Section
Event: April 2026 Technical Happy Hour
Time: April 23, 4-6pm (HH begins at 4, Talk at 430, more Social until 6)
Location: Liberty Energy, 950 17th St, Suite 2400, Denver, CO 80202
Sponsor: Novi Labs
Study Group Category: Data Analytics
Speaker: Brett Sinclair, Research Director, Novi Labs
Title: Meeting the Moment: Using Machine Learning to Assess How the Marcellus and Haynesville will
Supply Rising Gas Demand

Abstract:
One of the key challenges we face when trying to analyze scenarios that rely on forecasting the
production from future wells, is how granular we get in forecasting those wells. Traditionally,
operators or analysts looking at very specific asset packages will have highly fine-tuned Type
Curve Areas to hand-select analogous wells, creating type curves by bench, by area, by
parent/child designation, and many more cuts of the data. When doing higher-level analysis –
how much will a basin produce over time – analysts might use high-level averages of production
per well or per rig (or frac crew) across an entire region or basin.
At Novi, we train machine learning models across dozens of features that include subsurface
geotechnical attributes, wellbore and completion design, well spacing, and how much prior
depletion a future well would experience based on its drainage radius and the amount of
resource extracted thus far.
This provides individual well-level production forecasts custom to each potential location that
can be used for extremely focused analysis or high-level macro analysis and everything in
between. It also gets rid of the machine learning “black box” and explains the variation from
average in a well’s predicted performance due to different geological, spacing, completion, or
depletion features.
In this presentation, we will utilize Novi’s proprietary machine learning-derived inventory
forecasts to analyze how the Marcellus and the Haynesville are each positioned to supply the
increased natural gas demand coming from power generation (largely from data centers) and
LNG export terminals. How much inventory is left, and what is the quality of that inventory?
Which companies are best positioned, not only in the near term but for the foreseeable future?
How have activity levels responded to structural shifts in demand?
We will attempt to show that we don’t have to sacrifice well-level forecast accuracy for scale,
and that a machine learning approach also improves individual forecast accuracy while at the
same time saving time, providing the analyst more scope to analyze the forecast’s impact
instead of in its derivation.

Bio:
Brett Sinclair is a Research Director at Novi Labs, where he focuses on applying the outputs of
Novi’s data and machine learning analytics platform to US upstream oil and gas research.
Prior to Novi, Brett spent 10 years at Kimmeridge Energy in the Investment and Operations
teams. At Kimmeridge, Brett and his team conducted analysis and research from technical,
operational, and investment perspectives, to understand the energy landscape, to develop and
explore investment theses, to underwrite deals, and to directly manage portfolio assets.
Prior to Kimmeridge, Brett worked as a Directional Driller for Baker Hughes, drilling horizontals
in the US Lower 48, the Alaskan North Slope, and Saudi Arabia.
Brett has a bachelor’s degree in mechanical engineering and an MBA, both from the University
of Oklahoma.

Speaker Photo:

Register Here

SPE Denver Business Development Happy Hour: May 2026
2026-05-07 16:00 - 19:00 | Liberty Energy, 950 17th St Suite #24, Denver, CO, 80202, United States
About the Session

Join us for our section’s second 2026 Business Development Happy Hour, featuring a panel discussion moderated by Zack Warren on “Asset-Backed Securities for E&P Financing: Fad, or the Future?”. Industry leaders Mitch Ayer, Brian Lanier, Anthony Odem, and Hendrick Schroeder will share insights on the recent explosion in the use of Asset-Backed Securities for E&P financing. Several billion dollars have been raised using this method in the last couple of years, upending the market for O&G assets. Each of our panelists has been involved in multiple of these transactions. Following up on the successful panel we held in March, come for an honest discussion of the impact of the ABS market and what to look forward to in the future.

Register Here
