Abstract: A method can include receiving data that include satellite data of a region of interest where the region of interest includes multiple hydrocarbon production sites that include gas flaring equipment, identifying one or more unlit gas flares at one or more of the multiple hydrocarbon production sites by using a trained machine learning model and at least a portion of the data and, for an unlit gas flare, issuing an instruction related to operation of the gas flaring equipment in the region of interest.

Abstract: A system and method using a subterranean biological reactor can include a pre-reactor storage unit configured to receive a feedstock including a slurry of biologically derived material and at least one pump configured to pump the effluent from the pre-reactor storage unit. The system may include at least one wellbore containing a subterranean biological reactor configured to receive the effluent from the pre-reactor storage unit. At least a portion of the subterranean biological reactor may be configured to perform anaerobic digestion upon the effluent to generate a biogas.

Abstract: Embodiments of the present disclosure are directed towards a system and method using a subterranean biological reactor. Embodiments may include a pre-reactor storage unit configured to receive a feedstock including a slurry of biologically derived material and at least one pump configured to pump the effluent from the pre-reactor storage unit. The system may include at least one wellbore containing a subterranean biological reactor configured to receive the effluent from the pre-reactor storage unit. At least a portion of the subterranean biological reactor may be configured to perform anaerobic digestion upon the effluent to generate a biogas.

Abstract: A system and method using a subterranean biological reactor can include a pre-reactor storage unit configured to receive a feedstock including a slurry of biologically derived material and at least one pump configured to pump the effluent from the pre-reactor storage unit. The system may include at least one wellbore containing a subterranean biological reactor configured to receive the effluent from the pre-reactor storage unit. At least a portion of the subterranean biological reactor may be configured to perform anaerobic digestion upon the effluent to generate a biogas.

Abstract: Embodiments of the present disclosure are directed towards a system and method using a subterranean biological reactor. Embodiments may include a pre-reactor storage unit configured to receive a feedstock including a slurry of biologically derived material and at least one pump configured to pump the effluent from the pre-reactor storage unit. The system may include at least one wellbore containing a subterranean biological reactor configured to receive the effluent from the pre-reactor storage unit. At least a portion of the subterranean biological reactor may be configured to perform anaerobic digestion upon the effluent to generate a biogas.

Abstract: Methods may include estimating the weight fractions of kerogen and inorganic mineral components of at least an interval of a subsurface formation; determining the grain density of kerogen and inorganic mineral components, wherein at least the grain density of kerogen is determined by one or more infrared measurements; and calculating the formation matrix density of at least an interval of the subsurface formation from the estimated weight fractions and the determined grain density.

Abstract: Methods may include estimating the weight fractions of kerogen and inorganic mineral components of at least an interval of a subsurface formation; determining the grain density of kerogen and inorganic mineral components, wherein at least the grain density of kerogen is determined by one or more infrared measurements; and calculating the formation matrix density of at least an interval of the subsurface formation from the estimated weight fractions and the determined grain density.

Abstract: A methodology for reservoir understanding that performs investigation of asphaltene instability as a function of location in a reservoir of interest. In the preferred embodiment, results derived as part of the investigation of asphaltene instability are used as a workflow decision point for selectively performing additional analysis of reservoir fluids. The additional analysis of reservoir fluids can verify the presence of asphaltene flocculation onset conditions and/or determine the presence and location of phase-separated bitumen in the reservoir of interest.

Abstract: A methodology for reservoir understanding that performs investigation of asphaltene instability as a function of location in a reservoir of interest. In the preferred embodiment, results derived as part of the investigation of asphaltene instability are used as a workflow decision point for selectively performing additional analysis of reservoir fluids. The additional analysis of reservoir fluids can verify the presence of asphaltene flocculation onset conditions and/or determine the presence and location of phase-separated bitumen in the reservoir of interest.