Saudi Arabian Oil Company

Charles Bradford

Anas Mohammedali Almarzooq

Ramsin Yacood Eyvazzadeh

Jubril Babajide Oluwa

David Kersey

Dhaher Al-Elew

Mustafa Abdulmohsin

Hilal Al-Waheed

David Grahame Kersey

Provided in this disclosure are systems and methods for selection of petrophysical techniques to model reservoirs. Reservoir properties were calculated using two techniques&#x2014;a deterministic technique and an optimizing petrophysics technique, and simulation models were developed. The technique that yielded a simulation model that aligned more accurately and consistently with the reservoir data was selected to further develop the reservoir model.

Systems and methods to validate petrophysical models using reservoir simulations

Provided are techniques for drilling hydrocarbon wells based on evaluation of penetrated formation rock that include obtaining historical drilling data for one or more wells, determining a rock type mapping based on the historical drilling data, obtaining current drilling data for a well, determining, based on the current drilling data, a current rock identification (or 'ROCKID'), and determining, based on the rock type mapping and the current rock identification, a rock type encountered by a drill bit drilling the well, where drilling parameters can be adjusted based on the rock type.

Real-time well drilling evaluation systems and methods

A system and method identify hydrocarbon productive reservoir zones using Monte Carlo numerical analysis to account for uncertainties in log measurements and petrophysical parameters. Random errors in logging tool responses and core measurements, as well as reservoir heterogeneity, are incorporated in a Monte Carlo simulation to output appropriate petrophysical models to calculate statistical distributions for saturation and permeability to define productive zones, non-productive zones and zones of undetermined productivity as a basis of deciding whether additional logging, core sampling or well test data are needed to reclassify the undetermined zones as either productive or non-productive. As uncertainties are quantified in the analysis, the degree of certainty in determining productive and non-productive zones is known and can be used to decide whether to further test, stimulate or abandon reservoir zones.

Monte Carlo simulation of well logging data

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Dhahran, Saudi Arabia

Charles Bradford