... estimation spwla 63 hybrid approach interpretation drilling fluid property drilling fluid formulation permittivity filter cake reservoir characterization artificial intelligence fluid loss control resistivity image fracture resistivity rd annual logging symposium standoff basement...

... lithologies. INTRODUCTION Every petrophysical log responds to some combination of the solid rock matrix and its fluid-filled pores. Knowledge of the matrix properties is usually required for accurate interpretation of fundamental quantities like porosity, saturations, and permeability. The matrix properties...

...SPWLA 63rd Annual Symposium, Stavanger, Norway June 11-15, 2022 DOI: 10.30632/SPWLA-2022-0112 SEQUENTIAL MULTI-REALIZATION PROBABILISTIC INTERPRETATION OF WELL LOGS AND GEOLOGICAL PREDICTION BY A DEEP-LEARNING METHOD Sergey Alyaev1, Adrian Ambrus1, Nazanin Jahani1, Ahmed H. Elsheikh2 1 NORCE...

... interpretation method of log data is based on petrophysical mechanisms and models, many assumptions are needed, which may lead to deviations in practical application. Therefore, it is of great significance to achieve reservoir fluid identification when using machine learning processing and interpreting log data...

... Abstract We apply our novel automated image interpretation workflow to Brazilian pre-salt ultrasonic borehole image data. We obtain an immediate, un-biased classification of the full data, requiring no further input data beyond the borehole image itself. This interactive solution combines...

... Abstract Understanding and quantifying the uncertainty in petrophysical interpretation inputs and results are increasingly important in subsurface settings as drilling targets and reservoirs are getting harder and more complex to evaluate. To make the right key decision in exploration or field...

... reason is that current interpretation routines require dedicated personnel and are commonly done offline either daily or sometimes even after the well is already drilled and completed. In this paper the authors present a new real-time approach, significantly supporting real-time operational decision...

... factorial analysis of OA data, and its quantitative incorporation into thermal modeling, is a novel and key aspect for reliable dynamic characterizations. In fact, standalone temperature interpretations are highly uncertain/not reliable in case of multiphase flows. Finally, the value of uncertainty...

... laboratory analysis fluid dynamics water saturation petrophysical property carbonate spwla 63 rd annual logging symposium decomposition permeability total porosity porosity interpretation spwla-2022-0019 drilling fluids and materials drilling fluid formulation vug base function fraction...

... drill pipe is utilized in the well. A radial distribution of ultrasonic transducers arranged on the circumference of a drill collar allows for full azimuthal interpretation of the casing and cement whilst rotating the drill pipe. Analysis of the acquired data allows for interpretation of caliper...

... the wellbore determined the advancement of technical culture and workflows but also boosted the expectations of success for development projects. Today, the amount of data is not yet fully exploited due to a growing distance between the required skills and the interpretation solutions in place. This article...

... drilling measurement logging while drilling structural geology drilling data acquisition lwd upstream oil & gas reservoir characterization well logging drilling operation real time system logging symposium receiver percentile interpretation inversion tvd resistivity rd...

... log analysis drillstem testing well logging drilling operation fluid dynamics rudist facies reservoir characterization flow in porous media upstream oil & gas facies porosity spwla 63 saturation development oman hydrocarbon saturation interpretation enhanced recovery...

... discusses an optimized data acquisition and interpretation workflow tailored for such highly complex well scenarios. The reference case study is Well A, an onshore horizontal oil producer intercepting a naturally fractured carbonate reservoir. The horizontal drain was completed with slotted liners in front...

... well logging reservoir characterization machine learning artificial intelligence log analysis spwla-2022-0069 prediction workflow formation property mineralogy interpretation spectroscopy tool concentration good match schlumberger appraisal well rd annual logging symposium...

... such as seismic, chemostratigraphy data, and real-time drilling measurements. Introduction Stratigraphic correlation is used extensively in geoscientific workflows. It can be applied on different types of datasets such as seismic, well logs, mud logs, borehole cuttings interpretation, and chemostratigrpahic...

... features seen on each measurement sets and so attribute them to a sub-seismic feature. Geomodelling software allowed for 3D visualization, correlation of the results and interpretation. The image log observations which are wellbore centered are combined with DSWI observations up to 100ft away...

... Abstract In horizontal wells, the traditional formation evaluation can be effectively carried out only after the geometric relationship between the well trajectory and the target reservoir is correctly interpreted. With the omnipresence of horizontal wells nowadays, a priority in petrophysical...

... well logging log analysis machine learning artificial intelligence reservoir characterization neural network spwla-2022-0082 statistical fluctuation formation condition structural geology annual logging symposium spwla 63 interpretation spectrum east china deep learning accuracy...

... Abstract Real-time geological interpretation while drilling can be achieved with high-resolution borehole images; however, the use of different drilling fluids, telemetry-related limitations, and non-optimal depth control on rigs often leave geoscientists with limited and poorquality data...