ShaleCode

ShaleCode Company is using high level technologies such as Anaconda, Python, Jupiter Notebook, TensorFlow and Keras to deep learning model deployment.

DATASETS

ShaleCode Company is using world scale published and unpublished oil and gas sector data to construct datasets. The datasets are created based on data science terminology. Below datasets are present;

Porosity Prediction Dataset

S1 (Fluid Oil And Gas Volumes) Prediction Dataset

TOC prediction dataset

Mineralogy prediction dataset

Adsorption capacity prediction dataset

API gravity prediction dataset

Natural fractures density prediction dataset

Organic matter type classification dataset

Oil, gas, condensate and dry gas classification dataset

Natural and hydraulic fracture recognition dataset

Mineralogy recognition dataset

Organic matter recognation dataset

Porosity recognition dataset

Facies recognition dataset

DEEP LEARNING MODELS

ShaleCode Company has applied to many patents pending about below shale ML models. Below models are present;

TOC Prediction Model

S1 (Fluid Oil And Gas Volumes) Prediction Model

Porosity Prediction Model

Mineralogy prediction model

Brittlenes Index Prediction model

Apsorption capacity prediction model

API gravity prediction model

Natural fractures density prediction model

Organic matter type classification model

Oil, gas, condensate ad dry gas classification model

Fracture recognition model

Mineral recognition model

Porosity recognition model

Facies recognition model