Respack Petrophysics Location:Formation Nuqrah Evaluation SEDEX from Wireline Log Analysis and Solutionmachine Learning by FALCON P Lus

Respack Petrophysics Location:Formation Nuqrah Evaluation SEDEX from Wireline Log Analysis and Solutionmachine Learning by FALCON P Lus

ResPack Petrophysics Location:Formation Nuqrah evaluation SEDEX from wireline log analysis and Solutionmachine learning by FALCON P lus INDUSTRY CHALLENGES Speed Identification Data Fast quality control, editing, and Heterogeneous formations In frontier exploration areas, formation evaluation from wireline present a host of challenges finding enough high-quality log data plays a critical role in related to subsurface evaluations well data can be problematic developing both unconventional and development plans. due to the lack or quality of and conventional assets. wireline log data. GEOSCIENCE SOLUTIONS RESPACK PETROPHYSICS ADVANTAGES ◊ Accelerate subsurface understanding using the power of ◊ Gain knowledge of rock properties across the entire asset machine learning using machine learning to fill data gaps ◊ Make timely management decisions with essential ◊ Generate well-constrained seismic inversion products formation evaluation data, delivered fast across your asset by combining log and seismic data ROCK PHYSICS MODELING AND MACHINE LEARNING ALLOW CONFIDENT WELL PLANNING CGG completed a ResPack Petrophysics project using proprietary and public well data for a seismic inversion of the Spraberry and Wolfcamp Formations in the Midland Basin, Texas. The project lacked sonic data for depth conversion and subsequent inversion. Through the application of rock physics modeling and machine learning, synthesized sonic logs were produced in wells containing only triple-combo data—a process that provided additional elastic log data to further constrain the seismic products, enabling the client to plan lateral well drilling targets. Rock physics Log simulation on Data processing Petrophysical modeling & machine non-key wells using & editing evaluation learning on key wells machine learning The ResPack Petrophysics workflow compensates for missing well data by using rock physics and machine learning to simulate sonic logs. Geoscience - Geology & Reservoir ResPack Fast Petrophysics RESPACK PETROPHYSICS DELIVERABLES High-quality Formation Asset log suites evaluation evaluation ◊ Edited and ◊ Lithology ◊ Net: Gross evaluated logs ◊ PHIT & PHIE ◊ Original oil-in-place ◊ Delivery: LAS fi le ◊ Sw (OOIP) calculations formatted and ◊ Pay zones intelligently databased ◊ Elastic properties $ 1 2 3 4 5 RESPACK PETROPHYSICS ADD-ONS Locating drilling targets through the integration of ResPack Petrophysics and ResPack Fast seismic to deliver fast seismic inversion in weeks instead of months. Identifying drilling and development opportunities within heterogeneous thin-bed ResPack HD reservoirs by integrating ResPack Petrophysics and geostatistical inversion. Applying organic and inorganic rock properties from cuttings or core analysis to ResPack Cuttings constrain the ResPack Petrophysics model. Analyzing how pressures within rock pores vary within the subsurface. ResPack ResPack Pore Pressure Petrophysics supplies crucial formation compaction insights to the pore pressure workfl ow. CGG 10300 Town Park Drive Houston, TX 77072 - USA Tel: +1 832 351 8300 [email protected] cgg.com/respack.

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