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Keywords: algorithm
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Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0032
...-Organizing Maps (SOM) machine learning algorithm (Kohonen, 1982) was utilized to identify fractured regions by exploring various 1 SPWLA-2024-0032 SPWLA 65th Annual Logging Symposium, May 18-22, 2024 combinations of specific seismic attributes. The SOM algorithm is a very powerful tool, and the model can...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0049
..., and computing the corresponding orientation of the structure. The workflow starts with borehole images and the associated segments provided by the "auto dip picking" algorithm. A convolutional neural network detects bedding features and categorizes them as sinusoidal or non-sinusoidal bedding features...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0024
... the quality of UDAR measurements by training a machine-learning (ML) algorithm to estimate channel noise levels directly from the raw measurements, thus, avoiding the need for an initial interpretation. To this end, a large dataset was created with raw measurements and noise levels from a wide range...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0061
... inversion of electromagnetic or ultra deep azimuthal resistivity (UDAR) measurements can obscure or erroneously attribute the effects of these 3D sandstone injectites when not using a dimension-discriminant approach in the inversion algorithm. Such a limitation can result in sizable errors in pre-drilling...
Proceedings Papers
Adna Grazielly Paz de Vasconcelos, Luciana Velasco Medani, Rodrigo Bittencourt de Aguiar, Giovanna da Fraga Carneiro, Lin Liang
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0046
... structural geology artificial intelligence machine learning correlation algorithm standardization depth matching reservoir characterization spwla-2024-0046 procedure university brazil core analysis th annual logging symposium crossplot geological subdiscipline plug automatic approach spwla...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0068
... algorithms were employed to analyze the collected data, focusing on delineating porosity, formation factor, cementation factor, tortuosity, coordination number, throat radius, pore radius, throat length, and pore to the throat aspect ratio. We also applied deep learning algorithms, trained on a data set...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0078
... geologist artificial intelligence lwd geology well logging drilling data acquisition shear slowness log analysis machine learning spwla-2024-0078 drilling measurement th annual logging symposium logging while drilling annual logging symposium logging symposium algorithm mlaqi...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0115
... been developed, which includes an algorithm for determining the casing wall thickness based on mathematical modeling and iterative search for solutions. Validated models of multi-barrier (three to five) wells were used for measurements to assess the system's performance as well as the error in wall...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0047
..., leading to improved pore delineation and reduced errors in mineralogical identification. Compared with manual descriptions of these same samples, the results obtained from ML are satisfactory, approaching the originally obtained modal counts. Furthermore, the algorithm is easily configuring complex...
Proceedings Papers
Yazil Abbas, Mauro Viandante, Jianguo Liu, Mikhail Zaslavsky, Per Erik Wærum, Sven Severin Gundersen, Øystein Spinnangr, Wayne Abraham
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0096
... and suitability of the contributing factors such as geophysical data, grid size of geological models and robustness of the forward modelling algorithm. The geological and geophysical data are usually provided by the operators and this information is further refined before it's application in the feasibility work...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0109
.... Therefore, it is a challenge to find a fast forward model using the 1D equivalent integral method and the 3D sphere space partition integral algorithm individually. Comparing the results obtained using the 3D integral and 1D integral methods, it can be observed that at the same angle between the formation...
Proceedings Papers
Marie-Laure Mauborgne, Rubi Rodriguez, Françoise Allioli, Viktoriya Sergeyeva, Fabien Haranger, Alexis Pallain, Idris Babaghayou, Erwan Tanguy, Vikas Jain, Vivek Agarwal, Marie van Steene, Karam Ali AlSadiq, Chris Stoller
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0108
... a decade ago eliminating the need of radioactive source and the challenges associated with its handling, transportation, storage, and abandonment. The current sNGD algorithm has limitations in high-density formations, shales, over-gauge boreholes, and heavy mud system impacting its accuracy. A new...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0071
.... 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...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0110
... algorithm for all LWD propagation resistivity measurements accounting for the vendor diversities. Since the processing implementation covers all tools on the market, the developed algorithm accomplishes uniformity in processing and outcome, which is beneficial to those who have to deal with datasets from...
Proceedings Papers
Geoffrey Varignier, Pierre Chuilon, Emmanuel Caroli, Benoît Guivarc’h, Heiko Reinhardt, Cédric Carasco, Bertrand Pérot, Thomas Marchais, Johann Collot, Mai-Linh Doan
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0118
... geologist geology well logging log analysis detector spwla-2024-0118 geant4 experiment rock type th annual logging symposium spwla 65 sigma reservoir characterization simulation disturbance experiment fsf pt neutron projection sensitivity isf pt algorithm contribution...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0120
... 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...
Proceedings Papers
Orland Guedes, Roel Van Os, Izabela Titton, Zheng Li, Hiroshi Hori, Patrick Girolami, Gilbert Tardivel, Gulnara Ishberdina, Kamaljeet Singh, Mikhail Lemarenko
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0113
... spwla 65 amplitude operation acquisition thickness compensation imaging casing and cementing aperture spwla-2024-0113 algorithm axis azimuth SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI: 10.30632/SPWLA-2024-0113 CEMENT BOND AND CORROSION LOGGING WITH ULTRASONIC PHASED-ARRAY...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0090
... logging solves the problem of single measurement dimension and limited fluid identification ability of 1D NMR logging, and can provide more abundant fluid information. geologist geology algorithm complex reservoir reservoir characterization well logging boundary artificial intelligence...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0116
... well integrity riser corrosion artificial intelligence well logging flowline corrosion pipeline corrosion materials and corrosion thickness subsurface corrosion log analysis defect cutout workflow spwla-2024-0116 algorithm scenario th annual logging symposium spwla 65 inversion...
Proceedings Papers
Paper presented at the SPWLA 65th Annual Logging Symposium, May 18–22, 2024
Paper Number: SPWLA-2024-0130
... rigorously and perform necessary preprocessing procedures before the data can be effectively used. method for each category. For curve data, we enhance the existing quality control standards by introducing threshold and repeat error methods. In the case of single waveforms, we develop an algorithm based...
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