Abstract: Query dependent threshold generation for search result filtering is described. In one or more implementations, a user query entered via a search platform is received, and in response, items are retrieved from a storage device based on the user query. Using a first machine learning model, relevance scores are generated for the items, and the relevance scores represent degrees of relevance of respective items with respect to the user query. Using a second machine learning model, a relevance threshold is generated for the user query based on one or more features of the user query. The items are filtered based on the relevance scores and the relevance threshold, and the filtered items are communicated over a network for display in a user interface of the search platform.

Abstract: Query dependent threshold generation for search result filtering is described. In one or more implementations, a user query entered via a search platform is received, and in response, items are retrieved from a storage device based on the user query. Using a first machine learning model, relevance scores are generated for the items, and the relevance scores represent degrees of relevance of respective items with respect to the user query. Using a second machine learning model, a relevance threshold is generated for the user query based on one or more features of the user query. The items are filtered based on the relevance scores and the relevance threshold, and the filtered items are communicated over a network for display in a user interface of the search platform.

Abstract: Methods for simulating the movement of fluid through a formation volume comprises defining a lab-scale model representing rock fabric and associated permeability along a single well location within a formation volume and converting the lab-scale model to a field-scale model representing rock fabric and associated permeability at the single well location. The field-scale model representing rock fabric and associated permeability is correlated with field-scale log data and interpolated between multiple well locations so as to create a field-scale model representing rock fabric and associated permeability across the formation volume so that the movement of fluid through the formation volume can be simulated.

Abstract: Methods for simulating the movement of fluid through a formation volume comprises defining a lab-scale model representing rock fabric and associated permeability along a single well location within a formation volume and converting the lab-scale model to a field-scale model representing rock fabric and associated permeability at a single well location. The field-scale model representing rock fabric and associated permeability is correlated with field-scale log data and interpolated between multiple well locations so as to create a field-scale model representing rock fabric and associated permeability across the formation volume so that the movement of fluid through the formation volume can be simulated.