Abstract
Refracturing technology is one of the key technologies to recover the productivity of horizontal wells in tight oil reservoirs, and the selection of best candidate wells from target blocks is the basis of this technology. Based on the refracturing production database, this paper analyzes the direct relationship between geological data, initial fracturing completion data, and dynamic production data, and the stimulation effect of refracturing. Considering the interaction among multiple factors, the factors affecting the stimulation effect of refracturing are classified and integrated, and a comprehensive index including geology, engineering, and production is constructed, making this index meaningful both for physical and engineering properties. The XGBoost decision tree model is established to analyze the weight of influence for the comprehensive index of geology, engineering, and production in predicting the stimulation effect of refracturing. A comprehensive decision index of refracturing well selection is formed by combining the above three for performing a fast selection of horizontal candidate wells for fracturing. Taking a horizontal well test area in Songliao Basin as an example, the target wells of refracturing are selected by this method, and field operation is carried out, and a good stimulation effect is achieved. The results show that the comprehensive decision-making index constructed by this method is reliable and has certain guiding significance for well selection and stimulation potential evaluation of tight oil reservoir.
Highlights
Tight oil is a key component of unconventional oil and gas resources and has great potential for exploitation [1]
Because the stimulation effect of refracturing is affected by many factors, such as geology, Because stimulation of refracturing is the affected by many such as geology, engineering, andthe production, it iseffect necessary to determine influence weightfactors, of the comprehensive engineering, production, it production is necessaryintopredicting determinethe thestimulation influence weight the comprehensive index of geology,and engineering, and effect ofof refracturing before index of geology, engineering,decision and production in predictingweight the stimulation of refracturing establishing the comprehensive index
The comprehensive index of geology, engineering, and production was constructed by the dimensionless parameter method, which has certain engineering or physical significance
Summary
Tight oil is a key component of unconventional oil and gas resources and has great potential for exploitation [1]. Tavasoli [10] used the numerical simulation method to simulate the refracturing productivity of several fractured horizontal wells so as to select the candidate wells. There are many factors that affect the well selection decision-making of refracturing, and an efficient and quantitative well selection method for fractured horizontal wells is needed in the mine. Based on a tight reservoir as the research object, this paper establishes the simulation model of refracturing, carries out a large number of numerical simulation, and establishes the refracturing production database, and analyzes the relationship between geological data, completion data of primary fracturing and dynamic production data and the stimulation effect of refracturing. Through the establishment of the XGBoost decision tree model, the influence weight of geological, engineering, and production, a comprehensive index in predicting the stimulation effect of refracturing is analyzed. The rapid well selection decision for refracturing horizontal wells in tight oil reservoirs is presented
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