Saudi Arabian Oil Company

Mohammed Sabri Al Madani

Marei Saeed Al-Garni

Mohammed AlRashed

Maan Abdullah Alhawi

Maan Al Hawi

Marei Al Garni

Abdulrahman Albar

Maan Abdullah AlHawi

Mohammed Al Amoudi

A method for variogram modeling is disclosed. The method includes obtaining a synthetic well data and a well data for facies or petrophysical properties of interest in a targeted reservoir zone, training machine learning models using the synthetic well data as inputs and outputting a plurality of final variogram parameters predicted by using a plurality of machine learning models for the facies or petrophysical properties of interest in the targeted reservoir zone, wherein the well data for the facies or petrophysical properties of interest in the targeted reservoir zone is used as input.

Fast variogram modeling driven by artificial intelligence

A method may include obtaining first acquired well data. The method may further include generating augmented well data based on the first acquired well data. The augmented well data may be generated using a geological factor and a drilling factor. The method may further include generating a model using various machine-learning epochs and the first acquired well data and the augmented well data. The model may be trained by replicating a portion of the first acquired well data and the augmented well data during a machine-learning epoch among the machine-learning epochs. The method may further include generating adjusted well data for a region of interest using the model and second acquired well data.

Method and system for enhancing artificial intelligence predictions using well data augmentation

A method may include obtaining, by a computer processor, seismic data regarding a geological region of interest. The method may further include obtaining, by the computer processor, well log data from a wellbore within the geological region of interest. The method may further include determining, by the computer processor, a formation top depth using the seismic data, the well log data, a stratigraphic column, and a machine-learning model. The stratigraphic column may describe an order of various formations within the geological region of interest. The machine-learning model may assign a feature among the seismic data and the well log data to a formation among the formations in the stratigraphic column to determine the formation top depth.

Method and system for predicting formation top depths

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Dhahran, Saudi Arabia

Mohammed Sabri Al Madani