Nazanin Jahani
Seniorforsker
naja@norceresearch.no
+47 51 87 50 89
Nygårdsgaten 112, 5008 Bergen, Norway
Prosjekter
Publikasjoner
-
Vitenskapelig artikkelSequential multi-dimensional parameter inversion of induction logging data– Geophysical Prospecting 2025
-
KonferanseforedragRecent developments and verifications for the multi-dimensional and data-adaptive interpretation of borehole UDAR measurements using fast deterministic and stochastic inversion methods– Geosteering and Formation Evaluation Workshop 2024 2024
-
Vitenskapelig kapittelInversion of Electromagnetic Induction Log in Anisotropic Media using an Adjoint Integral Equation Method– 2024
-
Vitenskapelig kapittelImproved Detection and Description of 3D Sandstone Injectites in the Grane Field, Central North Sea via 1D Stochastic Inversion of UDAR Measurements– 2024
-
Vitenskapelig kapittelFast Stochastic Inversion of UDAR Measurements Using Adaptive Multi-Grid Simulated Annealing Guided by Model Parameter Error Estimation– 2024
-
Vitenskapelig kapittelLimits of 3D Detectability and Resolution of LWD Deep-Sensing Borehole Electromagnetic Measurements Acquired in the Norwegian Continental Shelf– 2023
-
Konferanseforedrag3D Modeling and Inversion of Induction Logs. 2023 Highlights– DigiWells Seminar 2023
-
KonferanseforedragStochastic Inversion of Borehole Ultra-Deep Azimuthal Resistivity Measurements Using Fast Multi-grid Simulated Annealing– NFES Monthly Technical Meeting 2023
-
Konferanseforedrag3D geological interpretation for geosteering of wells– DigiWells Seminar 2023 2023
-
Vitenskapelig artikkel3-D induction log modelling with integral equation method and domain decomposition pre-conditioning– Geophysical Journal International 2023
-
Vitenskapelig artikkelLimits of 3D target detectability of logging while drilling deep-sensing electromagnetic measurements from numerical modeling– Geophysical Prospecting 2023
-
Vitenskapelig kapittelTowards Real-Time 3D Modeling of Induction Logs Using an Integral Equation Method– 2023
-
Vitenskapelig artikkelEnhancing the Detectability of Deep-Sensing Borehole Electromagnetic Instruments by Joint Inversion of Multiple Logs Within a Probabilistic Geosteering Workflow– Petrophysics 2023
-
KonferanseforedragGeosteering results: It's time to understand where the bit is heading– Annual seminar SFI DigiWells 2022
-
KonferanseforedragAI‐based multi‐modal prediction of stratigraphy to inform drilling performance– Annual seminar SFI DigiWells 2022
-
KonferanseforedragPredicting likely stratigraphy realizations from shallow logs with AI– NFES Monthly Technical Meeting 2022
-
KonferanseforedragLimits of detectability and resolution of deep-sensing borehole electromagnetic measurements from numerical modeling– Geosteering and Formation Evaluation Workshop by NORCE and NFES 2022
-
Vitenskapelig kapittelRate of Penetration Prediction Using Quantile Regression Deep Neural Networks– 2022
-
KonferanseforedragDemo: Sequential prediction with noisy GR log and naïve ROP prediction– DigiWells technical meeting 2022
-
Vitenskapelig kapittelSequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method– 2022
-
KonferanseforedragSequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method– 63d SPWLA Annual Symposium 2022
-
KonferanseforedragRate of Penetration Prediction Using Quantile Regression Deep Neural Networks– ASME 41st International Conference on Ocean, Offshore and Arctic Engineering 2022
-
Vitenskapelig artikkelEnsemble-Based Well-Log Interpretation and Uncertainty Quantification for Well Geosteering– Geophysics 2022
-
KonferanseforedragModeling of Acid Stimulated Chalk Reservoirs: Coupled Fluid Flow and Elasto-Plastic Damage Analysis– InterPore Norway 4th National Workshop 2021
-
KonferanseforedragHPC and finite‐difference modelling of deep EM logs– SFI Digiwells Annual Seminar 2021
-
KonferanseforedragDrilling Process Modelling with Deep Learning: Towards ROP Prediction– DigiWells seminar 2021
-
KonferanseforedragDeep learning for probabilistic inversion during geosteering– HPC, DEEP LEARNING, AND NUMERICS IN GEOPHYSICS 2021
-
KonferanseforedragSequential probabilistic multi-modal inversion and prediction with deep learning– DigiWells demo 2021
-
KonferanseforedragFinite-Difference Modeling of Deep-Sensing Borehole EM Measurements on a CPU/GPU Cluster– 21st annual formation evaluation research consortium meeting 2021
-
Vitenskapelig kapittelReal-Time Ensemble-Based Well-Log Interpretation for Geosteering– 2021
-
KonferanseforedragREAL-TIME ENSEMBLE-BASED WELL-LOG INTERPRETATION FOR GEOSTEERING– SPWLA 62nd Annual Symposium 2021
-
Vitenskapelig artikkelModeling extra-deep electromagnetic logs using a deep neural network– Geophysics 2021
-
KonferanseforedragMachine learning in real-time geosteering application: a DNN model for extra-deep EM logs and accounting for the model error during Bayesian inversion– MATHROCKS workshop 2020
-
KonferanseforedragSensitivity analysis of an iterative ensemble Kalman filter method to interpret geothermal well logging– 8th European Geothermal Workshop 2020
-
Vitenskapelig kapittel(Dis)Advantages of Lock-free Synchronization Mechanisms for Multicore Embedded Systems– 2019
-
KonferanseforedragRealtime multi-objective optimization of well trajectory under geological uncertainty– ICIAM 2019 Congress 2019
-
KonferanseforedragReal-Time Decision Making for Geosteering– SIAM Conference on Mathermatical & Computational Issures in the Geosciences (GS19) 2019
-
Vitenskapelig kapittelEnsemble-based decision-support workflow for operational geosteering– 2018
-
Vitenskapelig artikkelCoupled Fluid Flow and Elasto-plastic Damage Analysis for Fractured Porous Chalk with Induced Wormhole– International Journal of Rock Mechanics And Mining Sciences 2015
-
Vitenskapelig kapittelPrediction of rock strength with matrix acidizing stimulation and induced wormhole by computational simulation methods– 2014
-
KonferanseforedragPrediction of rock strength with matrix acidizing stimulation and induced wormhole by computational simulation methods– The 2014 ISRM European Rock Mechanics Symposium (EUROCK 2014) 2014
