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A NEW WAY TO PREDICT RESERVOIR PROPERTIES

enter_large

A NEW WAY TO PREDICT RESERVOIR PROPERTIES

ENTER is a new quantiative interpretation software based on Inverse Rock Physics Modelling (IRPM). IRPM is a rock physics driven inversion method supporting both seismic inversion data and AVO data as input. The method is developed and made commercially available by Rock Physics Technology AS in collaboration with Interactive Network Technologies (INT). 

 

The technology provides important information to resource estimates and decision making processes in exploration, appraisal and production of hydrocarbons. This makes ENTER a powerful, yet easily applicable tool for both geologists and geophysicists in the oil & gas industry. 

ENTER is utilized to predict porosity, lithology and fluid-saturation from seismic data. The IRPM algorithm is developed to allow non-experts as well as experts to perform quantitative interpretation using a library of advanced rock physics models.

 

The method's unique rock physics approach stands out from other prediction methods available. By providing physically consistent solutions instead of statistically derived solutions IRPM is able to handle the non-uniqueness in ambiguous seismic data. 

ENTER is a new quantiative interpretation software based on Inverse Rock Physics Modelling (IRPM). IRPM is a rock physics driven inversion method supporting both seismic inversion data and AVO data as input. The method is developed and made commercially available by Rock Physics Technology AS in collaboration with Interactive Network Technologies (INT).

 

The technology provides important information to resource estimates and decision making processes in exploration, appraisal and production of hydrocarbons. This makes ENTER a powerful, yet easily applicable tool for both geologists and geophysicists in the oil & gas industry. 

ENTER is utilized to predict porosity, lithology and fluid-saturation from seismic data. The algorithm is developed to allow non-experts as well as experts to preform quantitative interpretation using a library of advanced rock physics models.

 

The method's unique rock physics approach stands out from other prediction methods available. By providing physically consistent solutions instead of statistically derived solutions IRPM is able to handle the non-uniqueness in ambiguous seismic data. 

Example overview:

The user selects input data, either seismic inversion data or AVO data. The user applies a set of theoretical models relevant for the data, provided either from internal resources or from an available rock physics model library. 

IRPM will then predict the porosity, lithology and fluid saturation given the input data with the associated uncertainties. The predictions are made by making an exhaustive search for matches between input data and rock properties in a set of forward-modelled constraint cubes.

Overview2016

For improved reservoir characterization, geophysical experts can calibrate rock physics models using well log data to account for the wide range of rock types and parameter combinations possible in the reservoir. 

The rock physics models can also be used to predict various “what-if” scenarios, such as effects of fluid or lithology substitutions. Improved interpretation can be achieved using the physically consistent predictions of porosities, lithologies and fluid saturations from IRPM.

Example overview:

 

The user selects input data, either seismic inversion data or AVO data. The user applies a set of theoretical models relevant for the data, provided either from internal resources or from an available rock physics model library. The IRPM will then predict the porosity, lithology and fluid saturation given the input data with the associated uncertainties.

For improved reservoir characterization, geophysical experts can calibrate rock physics models using well log data to account for the wide range of rock types and parameter combinations possible in the reservoir. The rock physics models can also be used to predict various “what-if” scenarios, such as effects of fluid or lithology substitutions. Improved interpretation can be achieved using the physically consistent predictions of porosities, lithologies and fluid saturations from IRPM. 

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