Web17 mei 2024 · The idea of lithology identification from well-logging is to establish the relationship between petrological characteristics and logging curves. Typical lithologies … Web19 jul. 2024 · Posted 19 July 2024. The Dutch Digitalisation Strategy 2.0 outlines a range of priorities for the upcoming years: artificial intelligence (AI), data science for social issues and economic growth, digital inclusion and skills, digital government, digital connectivity, digital resilience. Digital skills as a topic is set as a high priority for ...
Sequential data-driven cross-domain lithology identification …
Web15 jun. 2024 · Lithology classification using well logs plays a key role in reservoir exploration. This paper studies the problem of lithology identification based on the set … Weblithology indicates the spatial distribution of underground oilandgasresources[1].Loggingtechnologyreflectslitho-logy indirectly with acoustic, electrochemical, radioactive and other signals collected by specialized instruments [2]. Since the logging is cost-effective [3], logging lithology simple living custom homes
Identification of Source Lithology in the Hawaiian and Canary …
Webdepth track. Track 1 shows lithology from the Platform Express tool. Perforations in four zones and the flow profile are shown in Track 2. However, the water cut information in Track 3 reveals a zone near X,675 ft that ultimately produced water. Fluid interpretations in Track 4 suggest that the best oil potential exists just Web13 sep. 2024 · The nature of BPNN for lithology identification is a multi-classification system, and confusion matrix (Fig. 3) is usually used as a visual tool to evaluate the classification accuracy (Ruuska et al. 2024 ), thus, Accuracy, Recall, and Kappa are used as model evaluation indicators in this article. Fig. 3 Schematic diagram of confusion matrix WebPresently, lithologic identification methods include the description of core data and outcrops, thin section and X - ray diffraction data, automated mineral analysis (QEMSCAN), conventional logging, gravity and magnetic surveys, seismic exploration, well logging, remote sensing, etc. ( Table 1) [ 31 ]. rawson-neal