人工智能/机器学习

SPE Live：改进油藏学科中机器学习应用的挑战和问题

SPE 数据科学和工程分析技术总监 Silviu Livescu 和 SPE 油藏技术总监 Rodolfo Camacho 解决了将数据分析、人工智能和机器学习应用于多个油藏工程问题中的一些挑战。

ai - 人工智能和神经网络的深度学习概念。 波均衡器。 蓝色和紫色的线条。 矢量图
资料来源：盖蒂图片社

石油和天然气行业在数据分析、人工智能和机器学习在油藏工程学科中的应用方面拥有丰富的经验，特别是在油藏监测、油藏建模和动态预测方面。这些技术的情况与其他油藏分支学科中发生的情况类似，例如油藏表征和油藏管理。

尽管数据科学和工程应用范围广泛，但仍有改进的空间。在本次 SPE Live 中，SPE 数据科学与工程分析技术总监 Silviu Livescu 和 SPE 油藏技术总监 Rodolfo Camacho 解决了将数据分析、人工智能和机器学习应用于多个油藏工程问题时遇到的一些挑战，并回答了一些问题与油藏建模和动态预测中的应用相关的问题。

Rodolfo Camacho，SPE 油藏技术总监

Silviu Livescu，SPE 数据科学与工程分析技术总监

比罗尔·丁多鲁克, 主持人

该视频首次作为 SPE Live 活动呈现。更多 SPE 直播视频可在SPE Energy Stream上找到。

原文链接/jpt
AI/machine learning

SPE Live: Challenges and Questions To Improve Machine-Learning Applications in the Reservoir Discipline

SPE Data Science and Engineering Analytics Technical Director Silviu Livescu and SPE Reservoir Technical Director Rodolfo Camacho address some of the challenges in the application of data analytics, artificial intelligence, and machine learning to several reservoir engineering problems.

ai - artificial intelligence and deep learning concept of neural networks. Wave equalizer. Blue and purple lines. Vector illustration
Source: Getty Images

The oil and gas industry has great experience with the applications of data analytics, artificial intelligence, and machine learning in the reservoir engineering discipline, specifically in reservoir surveillance and reservoir modeling and performance prediction. The situation with these technologies is similar to what is happening in other reservoir subdisciplines, for example in reservoir characterization and reservoir management.

Despite the wide range of data science and engineering applications, there is still room for improvement. In this SPE Live, SPE Data Science and Engineering Analytics Technical Director Silviu Livescu and SPE Reservoir Technical Director Rodolfo Camacho address some of the challenges in the application of data analytics, artificial intelligence, and machine learning to several reservoir engineering problems and answer some of the questions related to those applications in reservoir modeling and performance prediction.

Rodolfo Camacho, SPE Reservoir Technical Director

Silviu Livescu, SPE Data Science and Engineering Analytics Technical Director

Birol Dindoruk, Moderator

This video was first presented as an SPE Live event. More SPE Live videos can be found on the SPE Energy Stream.