EP 22 · The Diminishing Returns of Lateral Length Across Different Basins episode artwork

EPISODE · Jan 29, 2026 · 15 MIN

EP 22 · The Diminishing Returns of Lateral Length Across Different Basins

from The Novi AI Roundup · host Novi Labs

Do longer laterals actually deliver more value? In this episode of The Novi AI Roundup, we explore how machine learning helps quantify the production efficiency of lateral length across U.S. unconventional plays. Drawing from the URTeC 2022 paper “The Diminishing Returns of Lateral Length Across Different Basins”, we show how uplift per foot declines beyond certain thresholds, and why production results vary by basin, completions size, and spacing. From the Midland to the Williston, this episode challenges the assumption that longer is always better.This podcast episode is based on the technical paper “The Diminishing Returns of Lateral Length Across Different Basins”, authors: A. Cui, T. Cross. Download the full paper here.

Do longer laterals actually deliver more value? In this episode of The Novi AI Roundup, we explore how machine learning helps quantify the production efficiency of lateral length across U.S. unconventional plays. Drawing from the URTeC 2022 paper “The Diminishing Returns of Lateral Length Across Different Basins”, we show how uplift per foot declines beyond certain thresholds, and why production results vary by basin, completions size, and spacing. From the Midland to the Williston, this episode challenges the assumption that longer is always better.This podcast episode is based on the technical paper “The Diminishing Returns of Lateral Length Across Different Basins”, authors: A. Cui, T. Cross. Download the full paper here.

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EP 22 · The Diminishing Returns of Lateral Length Across Different Basins

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This episode was published on January 29, 2026.

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Do longer laterals actually deliver more value? In this episode of The Novi AI Roundup, we explore how machine learning helps quantify the production efficiency of lateral length across U.S. unconventional plays. Drawing from the URTeC 2022 paper...

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