00926nab a2200181 4500 20260520175316.0 260224s2021 xxu ing Inglés Machine-Learning Approach Optimizes Well Spacing sept. 2021 03/01/2022 ; 03/01/2022 2 p. ; 44-45 This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 201698, "Finding a Trend Out of Chaos: A MachineLearning Approach for WellSpacing Optimization," by Zheren Ma, Ehsan Davani, SPE, and Xiaodan Ma, SPE, Quantum Reservoir Impact, et al., prepared for the 2020 SPE Annual Technical Conference and Exhibition, originally scheduled to be held in Denver, Colorado, 5-7 October. The paper has not been peer reviewed. 9 Journal of Petroleum Technology ARTICULO ddc 194174 194174 0 0 0 0 261893 BAAB BAAB 2026-03-06 200066546 0 200066546 2026-03-06 00:39:06 2026-03-06 ARTICULO