Frac modifications identified through virtual intelligence increase production ///

Occidental of Elk Hills, Inc. used Artificial Neural Network Modeling to identify changes that would improve the effectiveness of hydraulic fracturing treatments in its Western Shallow Oil Zone (WSOZ) completions at Elk Hills in California. Modeling demonstrated practices that would improve production. These include changes in pay selection and perforating practices, stimulation fluid type and volume, and breaker selection. Modeling demonstrates that altered completion / frac procedures could double production. Implementing these completion / stimulation changes resulted in an average completion value increase of $170,000 during the first six months of production. This article describes the modeling objectives and field validation that led to these successes.

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