... that leverages the full potential of ultra-deep azimuthal resistivity (UDAR) data in real time. The main objective of the geostopping application is to reliably determine the base of the salt with the major challenge of distinguishing intra-salt intercalations. Advanced detection of both the intercalations...

... model in real-world applications, particularly several tens of meters away from the borehole, is typically challenging. As a result, traditional BRI methods rely on velocity models that vary solely with depth, yielding less reliable images and reduced confidence in the final outcomes. To address...

... of the formation is quite close to that of casing steel. Because of the dominant casing waves, it is hard to discern formation compressional slowness from original STC spectrum. As a result, application of this new technique shows that it is capable of recovering and estimating formation slowness, in spite...

... be logically extended to conventional reservoir evaluation and Carbon Capture and Storage (CCS) applications, broadening their applicability beyond unconventional hydrocarbon reservoirs. sedimentary rock complex reservoir inversion geologist mineral artificial intelligence clastic rock mudrock...

... regression reservoir characterization spwla 65 comparison correlation th annual logging symposium engineer university noise application SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI: 10.30632/SPWLA-2024-0024 UNCERTAINTY ESTIMATION FOR ULTRADEEP AZIMUTHAL RESISTIVITY MEASUREMENTS USING...

... Drilling (LWD) acoustics field has seen significant development, with applications in both open and cased holes. This case study delves into the critical aspect of ensuring the quality of LWD acoustic data across various applications, including real-time Top of Cement (TOC) evaluation and a novel approach...

... mlaqi-dd modeling waveform interpretation liang spwla 65 application university spwla annual logging symposium frequency SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI: 10.30632/SPWLA-2024-0078 REAL-TIME LWD SONIC PROCESSING ENABLED BY DATA DRIVEN MACHINE LEARNING Lin Liang, Ting...

... geologists. Its objectives include the application of machine learning techniques for thin section characterization, data integration through comparison of analyzed images with previous manual analyses and petrophysical logs. 2. CONCEPTUAL BACKGROUND 2.1. Machine Learning Humans, throughout their evolution...

.... Further, the refined reservoir interpretation and evaluation can be completed by making full use of the retrieved formation resistivity and other logging data. INTRODUCTION With the development of complex oil-gas reservoirs and the continuous application of directional wells, the fields exploration...

... ABSTRACT To evaluate and analyze the characteristics of fluids within hydrocarbon reservoirs, it is critical to collect representative fluid samples. For this purpose, the application of formation testing and fluid sampling with downhole fluid analysis is now well established in our industry...

.... However, its application to UDAR inversion remains unexplored to date. We develop a very fast one-dimensional (1D) stochastic inversion of UDAR measurements obtained from complex hydrocarbon reservoirs, utilizing adaptive and multi-grid Simulated annealing algorithms. We verify the accuracy...

... ABSTRACT Recent advancements in ultra-deep azimuthal resistivity (UDAR) tools have successfully enabled resistivity boundary mapping in geosteering applications, primarily based on the inverted horizontal resistivity measurements of the formation electrical properties. This ignores formation...

...) configuration of two Tx pairs and one Rx pair increase to 24 possible permutations for two Tx and two Rx pairs. Compared to legacy tools, the measurement configuration includes also a third operating frequency expanding the range of application for PR measurements. The goal of the paper is to review and discuss...

... and prolong the well life. Integration of the near and far field logging while drilling (LWD) measurements was considered for this application. The continuous mapping of the surrounding resistivity profile and defining the reservoir properties was made possible by utilizing a tool with a larger depth...

... of decision-making nodes with ability to learn complex representations from data, and a DL neural network is a NN with more than one hidden layer. For our applications in this study, the input data to the DL model are NMR T2 distributions, and the output results of the model are MICP PTS distributions...

... for obtaining both compressional and shear formation signals. This paper will examine the formation arrivals with the prior information of the casing and tubing geometries and the contents within the annuli. The presented application is crucial for obtaining geomechanical data required for drilling side-tracks...

... rock well logging sedimentary rock mineral log analysis geological subdiscipline geology geochemistry geochemical characterization th annual logging symposium saturation spwla 65 detector geologist rock type annual logging symposium spwla-2024-0120 application scintillator algorithm...

.... ABSTRACT to achieve acceptable results. The application of Kalman filtering is lightweight and thus poses little burden on data storage and calculation speed, leading to much reduced processing time to be within 20 milliseconds for each depth point. In acoustic logging, slowness estimation is always...

... ABSTRACT This work focuses on the applications of Digital Rock Physics (DRP) in Petrobras and its relationship with traditional laboratory tests. DRP has evolved significantly in recent years, diversifying its applications in numerical simulations, image analysis using Artificial Intelligence...

... of pore filling clays are present. Recently, a low-energy shoreface deltaic depositional system was investigated using several whole cores and multiple full suites of open-hole log data. Analytical results suggest that application of the Thomas Stieber model to determine rock properties, as originally...