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E. Coenen, J. Mayorga* (Reveal Energy Services)
*Objectives/Scope: Understanding the impact of infill completions on nearby producers is essential for a safe and optimal development of unconventional reservoirs. Many operators have made it best practice to shut-in nearby wells and instrument them with pressure gauges. It has been widely recognized that a vast amount of learning can be derived from the magnitude and the character of the induced pressure signals.
Recently, the cost of pressure gauges in conjunction with data streaming capabilities, has come down significantly. This provides a unique opportunity to monitor and analyze these parent-child well interactions on a scale and level of details not seen before. For this breakthrough to happen, a cost-effective, scalable and timely analysis methods is required. Standardization of the analysis is important to guarantee data integrity across projects and to avoid analysist bias.
*Methods/Procedures/Process: To this aim, the author commenced to develop a set of measurable values to quantify key factors in well communication and classify the nature of the pressure response, by analyzing the transient pressure behavior before, during and after the completion of a stage. It relates the magnitudes and derivatives of the measured pressure in offset well to the treatment pressure and volumes pumped. Also, maximum pressure gradients of measured offset pressures are binned to qualify diffusion distances for given timescales. This standardization, enabled an algorithmic implementation making the execution repeatable and auditable.
*Results/Observations/Conclusions: In this paper the key factors defined will be detailed and demonstrated for an Eagleford case study. To date, over 73 wells have been analyzed using this method. Classifying the type of each pressure signals, indicate direct fluid communication, diffusion or undrained poro-elastic behavior governing the observed pressure responses. As such, revealing direct information on zonal isolation, short and long term well communication and effective fluidic pathways created by fracture networks. Novel data visualization and interaction also play a central role in delivering insights. Including the integration of geological data, e.g. seismic attributes and well logs. This has resulted in decisions on for example well spacing, diverter deployment, tailored volumes offsetting depleted heels and increased NPZ around faults.
*Applications/Significance/Novelty: The proposed methodology can be widely applied, since it relies on standard well and completion data mostly available. Applicability thus ranges from (i) legacy projects were offset pressure data was recorded, (ii) post job analysis of recent completions and (iii) near real-time analysis of current completions.
Interdisciplinary Components: N/A
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