Abstract: According to one embodiment, a catalyst system that reduces polymeric fouling may comprise at least one titanate compound, at least one aluminum compound, and at least one antifouling agent or a derivative thereof. The antifouling agent may comprise a structure comprising a central aluminum molecule bound to an R1 group, bound to an R2 group, and bound to an R3 group. One or more of the chemical groups R1, R2, and R3 may be antifouling groups comprising the structure —O((CH2)nO)mR4, where n is an integer from 1 to 20, m is an integer from 1 to 100, and R4 is a hydrocarbyl group. The chemical groups R1, R2, or R3 that do not comprise the antifouling group, if any, may be hydrocarbyl groups.

Abstract: Compositions and methods for prevention and reduction of iron sulfide scale formation, one method including detecting at least one component indicative of an iron sulfide scale precursor, the at least one component selected from the group consisting of: H2S; HS?; S2?; Sn2?; FeS(aq); Fe2+; Fe3+, and combinations of the same; preparing a composition to react with the iron sulfide scale precursor, the composition comprising at least one compound selected from the group consisting of: a methylating agent; a metal operable to react with sulfide species; a compound to increase the oxidation state of Fe2+; and combinations of the same; and applying the composition to the iron sulfide scale precursor to consume the iron sulfide scale precursor.

Abstract: Systems and methods include a method for providing an integrated advanced visualization tool for geosteering underbalanced coiled tubing drilling (UBCTD) operations. Drilling operation data is received from different sources in real time during a drilling operation. The drilling operation data includes geological formation information recorded during the drilling operation, micropalaeontological test results of the drilling operation, drilling parameters being used during the drilling operation, cumulative productivity index calculations, and reservoir pressure information of reservoirs encountered during the drilling operation. The drilling operation data is analyzed to correlate elements of the drilling operation data by time and cumulative depth. A graph is generated in real time that includes multiple plots correlated as a function of cumulative depth over time.

Abstract: Method for enhancing oil recovery in a hydrocarbon-containing carbonate reservoir including: injecting a slug of an oil recovery solution into the carbonate reservoir such that the wettability of a rock surface of the hydrocarbon-containing reservoir is altered toward more water-wet; and injecting a slug of a displacing fluid into the hydrocarbon-containing carbonate reservoir formation after injecting the slug of the oil recovery solution. The oil recovery solution comprising: a manganese-bearing aqueous solution having manganese ions and one or more major ions. The aqueous saline solution having a concentration of manganese ions between 100 and 1,000 ppm TDS and a concentration of major ions that is equivalent to the concentration of major ions in seawater as it is found in nature. The one or more major ions can include: sodium ion, magnesium ion, calcium ion, chlorine ion, sulfate ion, bicarbonate ion, and combinations of the same.

Abstract: A method for processing a hydrocarbon feed to produce olefins may comprise introducing the hydrocarbon feed to a first fluid catalytic cracking system, which may cause at least a portion of the hydrocarbon feed to undergo catalytic cracking and produce a spent first cracking catalyst and a first cracked effluent comprising one or more olefins. The method may further comprise passing the first cracked effluent to a separation system downstream of the first fluid catalytic cracking system, which may separate the first cracked effluent to produce at least a naphtha effluent comprising one or more olefins. Additionally, the method may comprise passing the naphtha effluent to a second fluid catalytic cracking system downstream of the separation system, which may cause at least a portion of the naphtha effluent to undergo catalytic cracking and produce a spent cracking catalyst mixture and a second cracked effluent comprising one or more olefins.

Abstract: A high integrity protection system includes a flow line including an inlet configured to be connected to a first source of pressure and an outlet configured to be connected to a downstream system. A first subsystem is installed on the flow line between the inlet and the outlet. A second subsystem is installed on the flow line between the inlet and the outlet, and the second subsystem is in a parallel flow configuration in relation to the first subsystem. The system includes a second source of pressure configured to be fluidically connected to the first subsystem and the second subsystem.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a seismic data de-blending model. In one aspect, a method comprises: obtaining a plurality of de-blending training examples, wherein each de-blending training example defines: (i) one or more blended seismic traces, and (ii) for each blended seismic trace, a corresponding plurality of target unblended seismic traces; using the de-blending training examples to train a de-blending model having a plurality of de-blending model parameters, comprising, for each de-blending training example: processing the one or more blended seismic traces of the training example using the de-blending model to generate an output which defines, for each of the one or more blended seismic traces of the training example, a corresponding plurality of estimated unblended seismic traces; and adjusting values of the plurality of de-blending model parameters.

Abstract: Systems and methods for utilizing fluid produced from a geothermal source to generate electrical power and provide energy for upstream oil processing as part of a binary power generation station. Use of the geothermally-heated fluid continues in an enhanced oil recovery operation. Thermal energy of the geothermally-heated fluid heats a working fluid of a binary power generation plant to operate a turbine and to heat an oil heating medium as part of a gas-oil separation plant. The enhanced oil recovery operation may be a waterflooding operation.

Abstract: Supplemental heat required to raise the temperature of a regenerated catalyst to the minimum required to promote the catalyzed reaction in an FCC unit is provided by introducing adsorbent material containing HPNA compounds and HPNA precursors with the coked catalyst into the FCC catalyst regeneration unit for combustion. The HPNA compounds and HPNA precursors can be adsorbed on either a carbonaceous adsorbent, such as activated carbon, that is completely combustible and generates no ash, or on fresh or coked FCC catalyst that is recovered from an HPNA adsorption column that has treated the bottoms from a hydrocracking unit to remove the HPNA compounds and their precursors.

Abstract: Systems and methods for analyzing and modeling natural gas flow in subterranean shale reservoirs. In some embodiments, methodologies and techniques for determining and modeling natural gas flow in shale formations using methodologies and techniques capable of determining natural gas properties related to dual-continuum flow, permeability, and pressure within a subterranean shale reservoir. In some embodiments, the natural gas properties are determined by subjecting a subterranean shale reservoir sample to pulse-decay analysis. In certain embodiments, the methodologies and techniques described may be used in various reservoirs exhibiting macroporosity and microporosity, such as fractured reservoirs and carbonate reservoirs composed of reservoir fluids.

Abstract: A method includes mixing seawater with a two-part additive system configured to precipitate sulfate from the seawater; removing the sulfate precipitates from the seawater; and delivering the seawater into an oilfield reservoir.

Abstract: According to one embodiment, a catalyst system that reduces polymeric fouling may comprise at least one titanate compound, at least one aluminum compound, and at least one antifouling agent or a derivative thereof. The antifouling agent may comprise a structure comprising a central aluminum molecule bound to an R1 group, bound to an R2 group, and bound to an R3 group. One or more of the chemical groups R1, R2, and R3 may be antifouling groups comprising the structure —O((CH2)nO)mR4, where n is an integer from 1 to 20, m is an integer from 1 to 100, and R4 is a hydrocarbyl group. The chemical groups R1, R2, or R3 that do not comprise the antifouling group, if any, may be hydrocarbyl groups.

Abstract: Embodiments provided herein include systems and methods for identifying water management candidates at an asset level that includes receiving data related to a plurality of wells, where the data includes data related to water produced by the plurality of wells. Some embodiments include determining a water management index for each of the plurality of wells, where the water management index is calculated based on the received data. Some embodiments include selecting a designated well to perform a water management action, based on the water management index, determining a type of water management action for the designated well and providing the designated well and the type of water management action for display.

Abstract: Systems and methods include a method for generating a real-time reservoir porosity log. Historical gas-porosity data is received from previously-drilled and logged wells. The historical gas-porosity data identifies relationships between gas measurements obtained during drilling and reservoir porosity determined after drilling. A gas-porosity model is trained using machine learning and the historical gas-porosity data. Real-time gas measurements are obtained during drilling of a new well. A real-time reservoir porosity log is generated for the new well using the gas-porosity model and real-time gas measurements.

Abstract: A method for determining a plurality of saturation values is provided. The method accessing, by a computing device, data describing a plurality of fluid volume values associated with a reservoir, the plurality of fluid volume values include a plurality of cumulative water volume values and a plurality of cumulative hydrocarbon values, utilizing, by the computing device, the data describing the plurality of fluid volume values to generate ratio values associated with intervals corresponding to depth levels of the reservoir, generating, by the computing device, a fractional flow graphical representation including the ratio values associated with the intervals corresponding to the depth levels of the reservoir, utilizing, by the computing device, the fractional flow graphical representation including the ratio values to determine saturation values associated with the intervals corresponding to the depth levels of the reservoir, and generating a saturation graphical representation including the saturation values.

Abstract: A method relates to generating and selecting in-flow control device design simulations.

Abstract: Systems and methods include a method for generating a real-time permeability log. Historical mud gas-permeability data is received from previously-drilled and logged wells. The historical mud gas-permeability data identifies relationships between gas measurements obtained during drilling and permeability determined after drilling. A formation hydrocarbon mobility model is trained using machine learning and the historical mud gas data. Real-time gas measurements are obtained during drilling of a new well. A real-time permeability log is generated for the new well using the formation hydrocarbon mobility model and real-time gas measurements.

Abstract: A method for mapping underground sensors onto a network map may include obtaining a plurality of magnetic measurements from a plurality of sensors. The method may include using the plurality of magnetic measurements for determining a plurality of sensor locations in an initial network map. The method may include generating updated network maps from the perspective of each localized sensor. The method may include merging the updated network maps into a final network map, the final network map comprising a most accurate location for each sensor. The method may include determining inner localized sensors out of the plurality of sensors in the final network map. The method may include identifying the inner localized sensors as new base station anchors. The method may include mapping the inner localized sensors onto the final network map as new base station anchors.

Abstract: Embodiments described herein include a system for generating a drainage radius log per well that includes a computing device that receives well data associated with a plurality of wells, utilizes the well production data to calculate a value for cumulative liquid produced by each of the plurality of wells for a predetermined time period, and utilizes at least a portion of the well data to calculate a fractional contribution for each of the plurality of wells. In some embodiments the computing device utilizes the value for cumulative liquid produced for each of the plurality of wells and the fractional contribution to calculate a cumulative liquid production for each of the plurality of wells, utilizes the cumulative liquid production to calculate the drainage radius log for each of the plurality of wells, and outputs the drainage radius log for display.

Abstract: Systems and methods for automatically generating drilling schedules are disclosed. According to one embodiment, a method of predicting rig movement between wells includes receiving historical well data regarding individual well types and historical rig data regarding individual rigs, and generating a Markov Chain model from the historical well data and the historical rig data. The Markov Chain model includes a plurality of states and a plurality of links between states. Each state of the plurality of states is a well class derived from the historical well data. Each link indicates a number of rigs that traveled between individual well classes. The method further includes determining, using the Markov Chain model, a probability of rigs moving between individual well classes, and predicting movement of individual rigs of a plurality of rigs between future wells based at least in part on the Markov Chain model.