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Texas Supreme Court Holds Producer Not Required to Share in Natural Gas Pipeline Compression Costs

The Energy Law

In Kachina Pipeline Company, Inc. Factual Background Kachina Pipeline Company, Inc. Kachina”) operates a natural gas gathering system, as well as a gas pipeline. Kachina utilized its pipeline to transport gas it purchased to Davis Gas Processing’s Plant (“Davis Plant”) where it was re-sold. Lillis, No.

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The Importance of Field Gas Conditioners and JT Skids in the Oil and Gas Industry

Pro-Gas Services

This self-contained system is specifically engineered to process raw natural gas, removing impurities and liquids to ensure it meets stringent quality standards for pipeline transportation or further processing. These impurities can corrode pipelines, damage processing equipment, and even pose safety and environmental risks.

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Energy Transfer Caps 2024 with Strong Q4 and Full Year Earnings Results

Energy Transfer

This was primarily due to higher throughput and higher rates across our Gulf Coast and Mariner East pipeline operations and we also had strong NGL exports and increased profits from the optimization of hedged NGL inventory. This was offset by lower interruptible utilization, reduced rates on Panhandle and increased operating expenses.

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Trudging the Rocky Landscape of Royalty Dispute Litigation with the Texas Supreme Court Yet Again in BlueStone

The Energy Law

BlueStone , 2019 WL 1716415, at *13. Despite that conclusion, the court of appeals held that “gross value received” supersedes “at the well” because the “at the well” language is not included in the “gross value received” paragraph (i.e.,

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Unleashing sustainable potential: harnessing machine learning on AWS for optimal energy usage

AWS: Energy (Oil & Gas)

You can trigger AWS Glue periodically or on-demand to process your raw telemetry data into the format needed for downstream analytic use cases. Use SageMaker Pipeline to orchestrate the end-to-end ML workflow as an alternative to AWS Step Functions , and SageMaker Training for training the model as an alternative to AWS Batch.