Научная визуализация, 2024, том 16, номер 5, страницы 164 - 178, DOI: 10.26583/sv.16.5.11

Analysis of Open Well Datasets

Авторы: Д.О. Макиенко^1,A, И.В. Сафонов^2,B

^A ООО «ТКШ», Москва, Россия

^B Национальный Исследовательский Ядерный Университет «МИФИ», Москва, Россия

¹ ORCID: 0000-0001-7341-6128, makienko-dasha@mail.ru

² ORCID: 0000-0002-8270-943X, ilia.safonov@gmail.com

 

Аннотация

Recently, the number of studies devoted to the use of machine learning methods in geophysics has been increasing significantly. Examples of such investigations include the prediction of rock properties and separation of rock types according to quantitative characteristics. Annotated datasets are required to build and evaluate the quality of machine learning based models. This paper analyzes open labeled well datasets and related research. We consider data containing well logs, rock images, laboratory results, labeled zonation by lithotypes. Methods for visualizing well data are presented. We provide recommendations for oil and gas companies on the preferable format for making well data publicly available

 

Ключевые слова: Well logs, rock images, open datasets, machine learning.