Abstract: Described herein are methods of recovering lithium from dilute lithium sources. The methods include extracting lithium from an extraction feed using direct lithium extraction in an extraction stage to yield a lithium intermediate, performing one or more concentration operations, each concentration operation concentrating an input stream to yield an output feed, wherein the input stream is obtained from the lithium intermediate and/or the extraction feed is obtained from the output feed. At least one of the concentration operations includes a membrane separation operation having a plurality of reactors in series each having a semi-permeable membrane, such as a counter-flow reverse osmosis operation. Methods may also include generating a low TDS stream as a permeate from any of the one or more concentration operations, wherein the low TDS stream is recycled or used as fresh water.

Abstract: Described herein are methods of recovering target ions from salt deposits. The methods include dissolving a target ion from a salt deposit to form a target solution and extracting the target ion from the target solution using a selective extraction process to yield a concentrate of the target ion which can be converted to a product.

Abstract: Described herein are methods of recovering lithium from dilute lithium sources. The methods include concentrating a dilute aqueous lithium source to yield an extraction feed having an extraction lithium concentration; extracting lithium from the extraction feed using direct lithium extraction in an extraction stage to yield a lithium intermediate; concentrating a stream obtained from the lithium intermediate in a concentration stage to yield a lithium concentrate; and converting lithium in the lithium concentrate to lithium hydroxide.

Abstract: Described herein are methods of recovering lithium from dilute lithium sources. The methods include concentrating a dilute aqueous lithium source to yield an extraction feed having an extraction lithium concentration; extracting lithium from the extraction feed using direct lithium extraction in an extraction stage to yield a lithium intermediate; concentrating a stream obtained from the lithium intermediate in a concentration stage to yield a lithium concentrate; and converting lithium in the lithium concentrate to lithium hydroxide.

Abstract: Described herein are methods of recovering lithium from dilute lithium sources. The methods include extracting lithium from an extraction feed using direct lithium extraction in an extraction stage to yield a lithium intermediate, performing one or more concentration operations, each concentration operation concentrating an input stream to yield an output feed, wherein the input stream is obtained from the lithium intermediate and/or the extraction feed is obtained from the output feed. At least one of the concentration operations includes a membrane separation operation having a plurality of reactors in series each having a semi-permeable membrane, such as a counter-flow reverse osmosis operation. Methods may also include generating a low TDS stream as a permeate from any of the one or more concentration operations, wherein the low TDS stream is recycled or used as fresh water.

Abstract: Described herein are methods of recovering lithium from aqueous sources. The methods include extracting lithium from an aqueous lithium source using an extraction stage to yield a lithium intermediate; routing the lithium intermediate to a concentration stage to yield a lithium concentrate; and adjusting parameters of the ion withdrawal extraction stage to target a ratio of lithium ions to impurity ions in the lithium intermediate.

Abstract: A method, apparatus, and program product may utilize data associated with one or more electric submersible pumps (ESPs) to train a machine learning model and/or use a machine learning model to perform ESP failure analysis. In addition, one or more features from the data may be encoded into a machine-readable format to facilitate ingestion by the machine learning model.

Abstract: A method, apparatus, and program product may build parent-child well pairs from data associated with one or more wells in a basin and use one or more parameters associated with such well pairs to train or use a machine learning model to predict a production impact of an infill well on one or more neighboring wells in the basin.

Abstract: A method can include receiving sensor data from a system; encoding the sensor data to a latent space representation via a trained encoder; generating a control action using the latent space representation; and issuing an instruction that corresponds to the control action for control of the system.

Abstract: A method can include receiving sensor data from a system; encoding the sensor data to a latent space representation via a trained encoder; generating a control action using the latent space representation; and issuing an instruction that corresponds to the control action for control of the system.