Прогнозирование результатов гидроразрыва пласта с использованием теории информации
Сведения об авторах
- Пермский национальный исследовательский политехнический университет, Пермь, Россия
- Пермский национальный исследовательский политехнический университет, Пермь, Россия
- Китайский нефтяной университет (Восточный Китай), Циндао, Китай
Аннотация
Гидроразрыв пласта позволяет увеличить дебиты скважин и сократить время извлечения нефти из пластов. В статье рассмотрены карбонатные отложения Пермского края. На этих залежах активно проводится гидроразрыв пласта. Для правильного планирования гидроразрыва пласта необходимо определить основные факторы, влияющие на дебит нефти после мероприятия. В исследовании использовалась теория информации для выявления основных факторов, влияющих на результаты гидроразрыва пласта. Для рассматриваемых месторождений основные факторы – обводненность до мероприятия, ширина трещины, длина трещины, дебит нефти до мероприятия. Имея данные об этих параметрах, можно с высокой достоверностью прогнозировать проведение гидроразрыва пласта. Построена модель прогнозирования результатов ГРП методом множественной линейной регрессии. Проведен статистический анализ ключевых параметров с построением диаграмм размаха среднего, максимального, медианного, квартильного и минимального значений для каждого параметра. Данные по скважинам разделили на две группы и выполнен анализ результатов по всем параметрам. Получено, что коэффициент продуктивности увеличивается с увеличением дебита нефти после гидроразрыва пласта и ширины трещины, причем наибольшее значение характеризовало группу B; поэтому ожидается, что дебит в этой группе будет большим. Остальные параметры в группах A и B были схожими. Абсолютное отклонение рассчитанных по второй модели значений дебита нефти после гидроразрыва пласта составило от 1,287 до 0,662 по сравнению с расчетными значениями по первой модели. Относительное отклонение от 4,1 % в первой модели до 2,4 % во второй модели. Полученные результаты позволят оперативно прогнозировать проведение гидроразрыва пласта на новых скважинах.
Ключевые слова
Forecasting Hydraulic Fracturing Results Using Information Amount Theory
Hydraulic fracturing allows you to increase production from wells and reduce the time it takes to extract oil from reservoirs. The article examines the carbonate formations of the Perm region. Hydraulic fracturing is being actively carried out on these formations. To properly plan hydraulic fracturing, it is necessary to determine the main factors that affect oil production after hydraulic fracturing. The study used information amount theory to identify the main factors that influence the results of hydraulic fracturing. For the area considered, the main factors were: pre-frac water cut, fracture width, fracture length, pre-frac oil production rate. Having data on these parameters, it is possible to predict hydraulic fracturing with high reliability. The regression model is built by the method of multiple linear regression. To determine the group features, a statistical analysis of the key parameters was performed to draw box plots of the mean, maximum, median, quartile and minimum values for each parameters. First, we analyzed the results for all parameters. The graph show that the productivity increases with increasing the oil production rate after fracking and the fracture width, and the group B had the largest amount; therefore its production is expected to be large. The others parameters were similar in the groups A and B. The absolute deviation of the second model calculated values of the oil production rate after hydraulic fracturing from its values in the field regress from 1,287 to 0,662 compared in the first model calculated values. The relative deviation from 4.1 % in first model to 2.4 % in the second model calculated values. The results obtained will allow us to quickly predict hydraulic fracturing in new wells.
Keywords
Литература
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Информация о статье
- Опубликована
- 28.06.2024
- В выпуске
- 28.06.2024
- Выпуск
- Том 24, № 2 (2024)