... distributed in log database. Accordingly, ML Classification with a high accuracy in evaporites is challenging and innovative. A database was built with two famous areas for evaporites: North Sea and Brazil. It includes a total of 743 wells having expert-validated evaporite lithology flags and a uniform set...

... mapping with artifacts appearing away from the wellbore. This compromises the higher resolution and superior accuracy of 2D imaging inversions, either along the wellbore to image longitudinal discontinuities or at an arbitrary alignment angle with respect to the wellbore to image lateral discontinuities...

... monte carlo simulation drilling fluid chemistry spwla-2024-0082 accuracy calculation long-spaced detector drilling fluid selection and formulation th annual logging symposium spwla 65 mudcake thickness nuclear science ABSTRACT Measuring formation density accurately is challenging due...

... performs the quality control of the analysis by comparing the trained thin section with the classified image. Consequently, the division of the elements in the thin sections was obtained, displaying the modal count of all constituents and the area of each analyzed pore. Visually, the accuracy...

... formations, shales, over-gauge boreholes, and heavy mud system impacting its accuracy. A new sourceless density algorithm has been developed based on recent advances in nuclear modeling and downhole hardware capabilities and provides a step-change improvement over the current algorithm. This new sourceless...

... accuracy physics variation architecture machine learning spwla-2024-0087 micp pt matching figure 9 application discrepancy spwla-2024-0087 classification SPWLA 65th Annual Logging Symposium, May 18-22, 2024 DOI: 10.30632/SPWLA-2024-0087 A PHYSICS INFORMED DEEP-LEARNING ARCHITECTURE...

... geology well logging geologist artificial intelligence slowness log analysis geological subdiscipline estimation spwla-2024-0133 slowness estimation th annual logging symposium kalman rock type reservoir characterization application spwla 65 doi university noise accuracy...

... sedimentary rock interpretation geology geologist mudrock artificial intelligence well logging reservoir characterization machine learning log analysis geological subdiscipline clastic rock rock type mudstone th annual logging symposium accuracy porosity dataset spwla 65...

... by utilizing formation density and porosity information. Compared to the traditional oxygen closure model, the joint bispectral method improves the calculation accuracy of chlorine content by an order of magnitude and keeps the calculation error of formation water salinity within 2g/L. The field logging...

..., an algorithm was developed to map the spectral gamma-ray response, caliper, mud Pe, and mud weight to formation Pe. This resulted in the proposed environmental corrections algorithm providing an improved accuracy compared to hitherto employed configurations. The paper presents a method to calculate drilling...

... accuracy concentration real-time interpretation dataset ABSTRACT Triple combo logs are important measurements for estimating geological, petrophysical and geomechanical properties. Unfortunately, wireline and advanced LWD logs are typically dropped from the formation evaluation plan...

... logging symposium spwla-2023-0076 gwlstm rclstm rock type log analysis geophysics well 1 identification university well 4 accuracy lithology identification national logging corporation ABSTRACT This study introduces a strata-constrained long short-term memory (LSTM) network solution...

... rock type allocation biogeochemistry geological subdiscipline spwla-2023-0083 geologist asia government sedimentary geology ems jurassic variance algorithm applicability doi accuracy reservoir surveillance reservoir characterization th annual logging symposium alkylbenzene scenario...

... 3-10pu to less than 1pu; High hydrogen bearing formation(φ CN >20p.u.) is reduced from the original 10-15 p.u. to less than 1.5 p.u. The logging example further verified the accuracy of matching the porosity calculation model in this paper. sedimentary rock structural geology well...

... photos and CT-scan images to identify fabric-based rock classes in un-imaged depths/well using conventional well logs, (b) to compare the performance and accuracy of the obtained supervised learning algorithm to classify the lithofacies using only conventional logs of nearby wells without any image data...

... production control borehole imaging neural network log analysis wellbore seismic deep learning well logging th annual logging symposium spwla 64 conference automated quality assessment reservoir characterization spwla-2023-0087 misalignment accuracy workflow machine learning application...

... interface location and fluid gradient determination. Operators make high-value/high-cost decisions using drilled well data based on reference depth. The need for positional accuracy of the different activities varies within the operator organization. The uncertainty of the three-dimensional (3D) positional...

... classifier using a 5-fold crossvalidation approach. The remaining 40% of the data was used to test the accuracy of the supervised models. We stablished a base case of unsupervised learning rock classification and four different cases of supervised learning rock classification. The highest accuracy obtained...

... Abstract Standard mud gas data is part of the basic mudlogging service and is mainly used for safety. Although the data is available for all wells, it is not used for real-time fluid typing due to poor prediction accuracy. We developed a new method recently based on a large in-house reservoir...

... in oil and water formations; meanwhile, complex borehole and string combinations as well as lithology cause high uncertainty of oil-bearing saturation interpretation by conventional C/O interpretation methods. To improve the signal-to-noise ratio of measurements and the accuracy of oil-bearing saturation...