Top Tweets for #Rockquality
How does #ExxonMobil plan to keep growing in the #Permian?
One reason is the quality of its remaining #MidlandBasin inventory. Compared with the basin average, ExxonMobil's undeveloped locations are weighted toward stronger #rockquality, supporting a long runway for future development.
Explore the full corporate report on #NoviIntelligence. https://t.co/3bPKhc6Nch
#EOG’s future will not look like its past.
While we model EOG still sitting on the highest-quality resource in the #DelawareBasin, its very high historical development pace combined with high-grading #rockquality results in less future growth, and a gassier production mix. Other growth assets in the #Utica and in #Dorado will continue to bias EOG’s production gassier over time. However, industry leading F&D and the strongest balance sheet in the sector allow the Godfather of Shale to continue delivering peer-leading Returns on Capital while returning significant amounts of free cash flow to shareholders.
Read the full report on #NoviIntelligence. https://t.co/EOaSnXB04T
Where does the #Permian go from here?
This analysis moves beyond #productiontrends and focuses on remaining high-quality inventory.
Key findings:
– #Rockquality varies significantly across formations
– 18 wells per section reduces per-well #EUR vs. 12 #WPS
– Economics, not just EUR, define inventory
– 4-6 years of Tier 1 & 2 drilling remain at historical pace
#Machinelearning provides a basin-wide lens on exhaustion risk.
Between 2016 and 2020, #EOG consistently drilled wells in #rockquality far above the #Delaware average. That edge has narrowed in recent years, with #remaininginventory quality now in line with #Devon and the other #leadingoperators.
See the full rock quality analysis in our free report. https://t.co/6lP3T2eaHK
#Spacing mattered. #Completions mattered. But #geology mattered most.
This combined #ML score shows how #rockquality drove performance high, and why recent declines are structural.
Download the full write-up today on #NoviIntelligence. https://t.co/uVxJfZPCXz
Join Kiran Sathaye at the #SPEAustin May Luncheon on May 14 to explore: “Calculating the #RockQuality of Remaining #PermianInventory: A #MachineLearning Approach.”
With machine learning forecasts across undrilled locations in the #Delaware and #Midland Basins, Kiran will offer a new perspective on inventory quality, drilling longevity, and how operators can better plan for the future.
🗓 May 14 | 11:30 AM – 1:00 PM CDT
Learn more! https://t.co/h3fDWYiOg4
The #MidlandBasin produces over 2 million barrels per day, but recent declines in per-well productivity have raised concerns about its future. Is this a sign of #rockquality degradation, or are other factors at play?
In this #URTeC paper, we use #machinelearning to analyze #wellperformance, assess #remaininginventory, and #forecastproductiontrends through the next decade. The findings challenge common assumptions and provide a data-driven outlook for Midland Basin development.
Download the full paper to explore these insights https://t.co/XKO6zP4DKr
How do you define better rock for production?🤔
With the power of machine learning, we’re moving beyond assumptions to map rock quality with precision. Curious how? Watch the clip to learn more!
#oott #oilgas #rockquality #machinelearning
In this clip, we explore how #GraysonMill's development program compares to #Devon's in the #Bakken, focusing on #rockquality from top-tier to lower-tier zones. Discover how subtle differences in geology could make or break a billion-dollar deal.🚀
Dive into the full webinar for a comprehensive analysis of Devon's Bakken acquisition strategy! https://t.co/Z7xyhfmcwG
#oott #oilgas #acquisitionanalysis #geology
How do define "rock quality"?🪨🤔
In this clip, Ted Cross explains how Novi utilizes advanced metrics like toc, water saturation, and depth to map rock quality accurately.
No assumptions, just data-driven insights! What do you think?
#oott #oilandgas #rockquality #toc #watersaturation #datadriven #machinelearning
With #ML, benchmarking #operatorperformance to #rockquality is easy. In this URTeC paper, we compared operator production numbers to their rock quality and to the model predictions.
👉https://t.co/bj8oEa8SlX
Want to unlock the power of #ML for #rockquality assessment in the #oilandgasindustry?👀🪨
This #URTeC paper introduces #GeoSHAP, a method derived from Principal Component Analysis and SHAP values.
Download the full paper here 👉 https://t.co/vkIzWWGRn2
#oott #dataanalytics
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