Systems, methods, and computer program products can be used for determining the amount of oil removed by a miscible gas flood. One of the methods includes identifying locations of oil within a volume representing a reservoir rock sample. The method includes identifying locations of gas within the volume. The method also includes determining the amount of oil removed based on locations within the volume where oil is either coincident with the gas or is connected to the gas by a continuous oil path.

A downhole tool has a tool body with an outer diameter equal to a borehole diameter, at least one cavity formed in and opening to an outer surface defining the outer diameter of the tool body, a light source, a filter, and a light detector mounted in the at least one cavity, and a window disposed at the opening of the at least one cavity, wherein the window encloses the cavity.

Embodiments of the present disclosure are directed towards systems and method for characterizing wettability. Embodiments may include acquiring, using at least one processor, multi-physics data and transforming the multi-physics data into transformed data that is more sensitive to wettability than the multi-physics data. Embodiments may further include processing, using a data processing engine, the acquired and transformed data using at least one of a data correlation technique and an inversion technique.

Embodiments of the present disclosure are directed towards systems and method for characterizing wettability. Embodiments may include acquiring, using at least one processor, multi-physics data and transforming the multi-physics data into transformed data that is more sensitive to wettability than the multi-physics data. Embodiments may further include processing, using a data processing engine, the acquired and transformed data using at least one of a data correlation technique and an inversion technique.

A graphical representation of an image of a subterranean formation along with log properties of the formation provided in a single graphical representation. Logged formation property values are coded into graphic representations of images of the formation in order to provide a graphical representation which allows the user to visually perceive the formation images and the logged formation properties simultaneously. A method may include receiving an image of a formation, the image including image values based on the formation, and also receiving a log property of the formation, the log property including log property values based on the formation. The log property values of the formation are correlated to corresponding locations in the image. A transfer function with the image values and the correlated log property values as inputs is determined. Based on the transfer function, a joint graphical representation of the image and the log property is rendered.

A graphical representation of an image of a subterranean formation along with log properties of the formation provided in a single graphical representation. Logged formation property values are coded into graphic representations of images of the formation in order to provide a graphical representation which allows the user to visually perceive the formation images and the logged formation properties simultaneously. A method may include receiving an image of a formation, the image including image values based on the formation, and also receiving a log property of the formation, the log property including log property values based on the formation. The log property values of the formation are correlated to corresponding locations in the image. A transfer function with the image values and the correlated log property values as inputs is determined. Based on the transfer function, a joint graphical representation of the image and the log property is rendered.

A system and a method for evaluating a subterranean earth formation include a logging tool locatable in a wellbore dispose in the formation. The logging tool may include a transmitter antenna and a single receiver antenna. The transmitter antenna is configured to transmit a first electromagnetic signal into the subterranean earth formation. The system further includes a processor and a non-transitory memory device. The memory device includes instructions that cause the processor to control a current and a voltage sourced to the transmitter antenna, receive, via the single receiver antenna, a second electromagnetic signal emitted by the subterranean earth formation in response to receiving the first electromagnetic signal, and determine a resistivity of the subterranean earth formation based on the second electromagnetic signal.

Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving historical production data associated with a hydrocarbon well; preprocessing the historical production data to remove noise from the historical production data; using one or more machine-learning algorithms and the preprocessed historical production to train a simulation model to simulate a flow-after-flow test for the hydrocarbon well; and testing the simulation model to determine that the simulation model passes predetermined testing criteria.

Systems and methods to estimate a pore pressure of source rock include a pore pressure estimation processor, an executable, or both, and are operable to (i) calculate an estimate pore pressure based on overburden gradient data, a compaction velocity profile, hydrocarbon maturity, and an unloading velocity profile, (ii) determine a total organic content (TOC) estimate of the source rock based on a bulk density at a vertical depth measured using the density logging tool, (iii) determine a correction factor based on (a) the TOC estimate and (b) vitrinite ratio R.sub.o data, and (iv) update the estimated pore pressure in real-time based on the correction factor.

Systems and methods to estimate a pore pressure of source rock include a pore pressure estimation processor, an executable, or both, and are operable to (i) calculate an estimate pore pressure based on overburden gradient data, a compaction velocity profile, hydrocarbon maturity, and an unloading velocity profile, (ii) determine a total organic content (TOC) estimate of the source rock based on a bulk density at a vertical depth measured using the density logging tool, (iii) determine a correction factor based on (a) the TOC estimate and (b) vitrinite ratio R.sub.o data, and (iv) update the estimated pore pressure in real-time based on the correction factor.