title: ÐÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ Ð¾Ð±Ð²Ð¾Ð´Ð½ÑÐ½Ð½Ð¾ÑÑÐ¸ ÑÐºÐ²Ð°Ð¶Ð¸Ð½ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Forecasting well waterlogging using machine learning methods
Creators: name: Ð¡Ð¼Ð¸ÑÐ½Ð¾Ð²Ð°, ÐÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð±ÑÑÐµÐ½Ð¸Ðµ Ð½Ð¾Ð²ÑÑ ÑÐºÐ²Ð°Ð¶Ð¸Ð½
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð· Ð¾Ð±Ð²Ð¾Ð´Ð½ÑÐ½Ð½Ð¾ÑÑÐ¸
ÑÐ°ÑÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ
Ð´Ð°ÑÐ°ÑÐµÑ
Ð¿ÑÐµÐ¿ÑÐ¾ÑÐµÑÑÐ¸Ð½Ð³ Ð´Ð°Ð½Ð½ÑÑ
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¾ÑÐµÐ½ÐºÐ° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸
drilling new wells
water cut forecast
distribution
dataset
data preprocessing
machine learning
efficiency assessment

description: Ð Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÐµ Ð±ÑÐ»Ð¾ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ð¾ Ð¿ÑÐµÐ´ÑÐºÐ°Ð·Ð°Ð½Ð¸Ðµ Ð¾Ð±Ð²Ð¾Ð´Ð½ÑÐ½Ð½Ð¾ÑÑÐ¸ ÑÐºÐ²Ð°Ð¶Ð¸Ð½. Ð Ð¿ÑÐ¾ÑÐµÑÑÐµ Ð±ÑÐ» Ð½Ð°Ð¿Ð¸ÑÐ°Ð½ ÐºÐ¾Ð´ Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python. ÐÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÑÐ¾Ð´ÐµÑÐ¶Ð°Ð½Ð¸Ñ Ð²Ð¾Ð´Ñ Ð² ÑÐºÐ²Ð°Ð¶Ð¸Ð½Ð°Ñ ÑÐ²Ð»ÑÐµÑÑÑ Ð²Ð°Ð¶Ð½ÑÐ¼ Ð°ÑÐ¿ÐµÐºÑÐ¾Ð¼ Ð½ÐµÑÑÐµÐ³Ð°Ð·Ð¾Ð²Ð¾Ð¹ Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾ÑÑÐ¸. Ð­ÑÐ¾ Ð¿Ð¾Ð¼Ð¾Ð³Ð°ÐµÑ Ð¾Ð¿ÑÐµÐ´ÐµÐ»Ð¸ÑÑ ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ Ð²Ð¾Ð´Ñ, Ð¿ÑÐ¸ÑÑÑÑÑÐ²ÑÑÑÐµÐ¹ Ð² ÑÐºÐ²Ð°Ð¶Ð¸Ð½Ðµ, ÐºÐ¾ÑÐ¾ÑÐ¾Ðµ Ð¼Ð¾Ð¶ÐµÑ Ð¿Ð¾Ð²Ð»Ð¸ÑÑÑ Ð½Ð° Ð´Ð¾Ð±ÑÑÑ Ð½ÐµÑÑÐ¸ Ð¸Ð»Ð¸ Ð³Ð°Ð·Ð°. Ð¡Ð¾Ð´ÐµÑÐ¶Ð°Ð½Ð¸Ðµ Ð²Ð¾Ð´Ñ ÑÐ°ÐºÐ¶Ðµ Ð¼Ð¾Ð¶ÐµÑ Ð²Ð»Ð¸ÑÑÑ Ð½Ð° ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð´Ð¾Ð±ÑÐ²Ð°ÐµÐ¼ÑÑ ÑÐ³Ð»ÐµÐ²Ð¾Ð´Ð¾ÑÐ¾Ð´Ð¾Ð², Ð° ÑÐ°ÐºÐ¶Ðµ Ð½Ð° ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð¿ÑÐ¾ÑÐµÑÑÐ° Ð´Ð¾Ð±ÑÑÐ¸. Ð¦ÐµÐ»Ñ ÑÐ°Ð±Ð¾ÑÑ â Ð¾ÑÐµÐ½Ð¸ÑÑ Ñ ÐºÐ°ÐºÐ¾Ð¹ Ð¾Ð±Ð²Ð¾Ð´Ð½ÐµÐ½Ð½Ð¾ÑÑÑÑ Ð½Ð°ÑÐ½ÐµÑ ÑÐ°Ð±Ð¾ÑÑ Ð½Ð¾Ð²Ð°Ñ ÑÐºÐ²Ð°Ð¶Ð¸Ð½Ð°, ÑÑÐ¾Ð±Ñ ÑÐ¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð´ÐµÐ±Ð¸Ñ Ð½ÐµÑÑÐ¸ Ð¸ ÑÐ°ÑÑÑÐ¸ÑÐ°ÑÑ ÑÐµÐ½ÑÐ°Ð±ÐµÐ»ÑÐ½Ð¾ÑÑÑ Ð±ÑÑÐµÐ½Ð¸Ñ Ñ ÑÐµÐ»ÑÑ Ð´Ð¾Ð²ÑÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð¾ÑÑÐ°Ð²ÑÐ¸ÑÑÑ Ð·Ð°Ð¿Ð°ÑÐ¾Ð². Ð¡ ÑÑÐµÑÐ¾Ð¼ ÑÑÐ¸Ñ Ð´Ð°Ð½Ð½ÑÑ ÑÐ´Ð°ÑÑÑÑ Ð¾Ð¿ÑÐµÐ´ÐµÐ»Ð¸ÑÑ Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½ÑÐµ ÑÐµÐ»Ð¸ Ð±ÑÑÐµÐ½Ð¸Ñ Ð½Ð¾Ð²Ð¾Ð¹ ÑÐºÐ²Ð°Ð¶Ð¸Ð½Ñ. ÐÐ±ÑÐµÐºÑ Ð²Ð½Ð¸Ð¼Ð°Ð½Ð¸Ñ â ÑÐ°Ð·ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÐ¼Ð¾Ðµ Ð½ÐµÑÑÑÐ½Ð¾Ðµ Ð¼ÐµÑÑÐ¾ÑÐ¾Ð¶Ð´ÐµÐ½Ð¸Ðµ. Ð ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¼ Ð¼Ð¸ÑÐµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ ÑÑÐ°Ð½Ð¾Ð²Ð¸ÑÑÑ Ð²ÑÐµ Ð±Ð¾Ð»ÐµÐµ Ð²Ð°Ð¶Ð½ÑÐ¼ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ¾Ð¼ Ð´Ð»Ñ ÑÐµÑÐµÐ½Ð¸Ñ ÑÐ»Ð¾Ð¶Ð½ÑÑ Ð·Ð°Ð´Ð°Ñ Ð² ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ Ð¾Ð±Ð»Ð°ÑÑÑÑ. ÐÐ´Ð½Ð¾Ð¹ Ð¸Ð· ÑÐ°ÐºÐ¸Ñ Ð¾Ð±Ð»Ð°ÑÑÐµÐ¹ ÑÐ²Ð»ÑÐµÑÑÑ Ð½ÐµÑÑÐµÐ³Ð°Ð·Ð¾Ð²Ð°Ñ Ð¿ÑÐ¾Ð¼ÑÑÐ»ÐµÐ½Ð½Ð¾ÑÑÑ, Ð³Ð´Ðµ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¾ Ð´Ð»Ñ Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð¾Ð±Ð²Ð¾Ð´Ð½ÐµÐ½Ð¸Ñ ÑÐºÐ²Ð°Ð¶Ð¸Ð½. ÐÐ±Ð²Ð¾Ð´Ð½ÐµÐ½Ð¸Ðµ ÑÐºÐ²Ð°Ð¶Ð¸Ð½ - Ð²Ð°Ð¶Ð½ÐµÐ¹ÑÐ¸Ð¹ Ð¿ÑÐ¾ÑÐµÑÑ, Ð¾Ð±ÐµÑÐ¿ÐµÑÐ¸Ð²Ð°ÑÑÐ¸Ð¹ ÑÑÑÐµÐºÑÐ¸Ð²Ð½ÑÑ Ð´Ð¾Ð±ÑÑÑ ÑÐ³Ð»ÐµÐ²Ð¾Ð´Ð¾ÑÐ¾Ð´Ð¾Ð² Ð¸Ð· Ð¿Ð¾Ð´Ð·ÐµÐ¼Ð½ÑÑ ÐºÐ¾Ð»Ð»ÐµÐºÑÐ¾ÑÐ¾Ð². ÐÐ½Ð° Ð²ÐºÐ»ÑÑÐ°ÐµÑ Ð² ÑÐµÐ±Ñ Ð·Ð°ÐºÐ°ÑÐºÑ Ð²Ð¾Ð´Ñ Ð² ÑÐºÐ²Ð°Ð¶Ð¸Ð½Ñ Ð´Ð»Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶Ð°Ð½Ð¸Ñ Ð´Ð°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¸ Ð´ÐµÐ±Ð¸ÑÐ° Ð½Ð° Ð¾Ð¿ÑÐ¸Ð¼Ð°Ð»ÑÐ½Ð¾Ð¼ ÑÑÐ¾Ð²Ð½Ðµ.
description: In this work, the prediction of water cut in wells was considered. During the process, code was written in the Python programming language. Tudying the water content of wells is an important aspect of the oil and gas industry. It helps to determine the amount of water present in the well, which can affect the production of oil or gas. The water content can also impact the quality of the produced hydrocarbons, as well as the efficiency of the extraction process. The purpose of the work is to estimate the water cut with which a new well will start operating in order to predict oil production and calculate the profitability of drilling in order to develop the remaining reserves. Taking into account these data, it will be possible to determine the optimal goals for drilling a new well. The object of attention is a developing oil field. In the modern world, machine learning is becoming an increasingly important tool for solving complex problems in various fields. One such field is the oil and gas industry, where machine learning can be used to study well watering. Well watering is a critical process that ensures the efficient extraction of hydrocarbons from underground reservoirs. It involves injecting water into the well to maintain pressure and keep the production rate at an optimal level.