Locating hydrocarbons by characterizing gas exsolution

An apparatus comprising a non-transitory, computer readable, storage medium that stores instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• training a convolutional neural network (CNN) using a set of training data comprising information of gas exsolution in an oil reservoir, a seismic indicator, a chemical indicator, a petrophysical indicator;
• providing an input image comprising a seismic cross-section of a formation to the CNN, the formation comprising an uplifted region or a faulted region;
• providing chemical information of hydrocarbons present in a location within the formation, the chemical information obtained from a fluid sample collected from the location;
• providing petrophysical information at the location;
• computing a probability of gas exsolution using the CNN based on the seismic cross-section, the chemical information, and the petrophysical information;
• and
• based on the probability, generating or update a hydrocarbon production plan for the formation.

A system, comprising:

• one or more memory modules;
• and
• one or more hardware processors communicably coupled to the one or more memory modules, the one or more hardware processors configured to execute instructions stored on the one or more memory modules to perform operations comprising:
• training a convolutional neural network (CNN) using a set of training data comprising information of gas exsolution in an oil reservoir, a seismic indicator, a chemical indicator, and a petrophysical indicator;
• providing an input image comprising a seismic cross-section of a formation to the CNN, the formation comprising an uplifted region or a faulted region;
• providing chemical information of hydrocarbons present in a location within the formation, the chemical information obtained from a fluid sample collected from the location;
• providing petrophysical information at the location;
• computing a probability of gas exsolution using the CNN based on the seismic cross-section, the chemical information, and the petrophysical information;
• and
• based on the probability, generating or updating a hydrocarbon production plan for the formation.