用在除刺场灌肠的污泥中使用的时间电路对地表压力进行模型

Bambang Sutrimo
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摘要

含油砂和含油水是石油勘探开发成果的一部分,属于危险有毒废物(B3),需要进行特殊处理成浆液并注入处置井。注入过程中的主要问题是注入过程中井底压力的增加,导致井堵塞问题,阻碍了Duri油田的生产活动。本研究的主要目的是确定最好的模型,并在注射过程中安全系数使用时间序列Arima软件“R”方法的参数泥浆流速和浆成分的基础上,注入井注入策略在B B . Arima预测注射流率2、3立方米/分钟,浆浓度25%浪费和75%的水是Arima模型3(1 1 0)的最小值Akaike信息标准(AIC) 2773、98最小的Schwarzt Bayesian信息准则(SBC)为2781,则预测的平均井底压力为1256.4 psi,而现场数据显示的平均井底压力为1247.54 psi。对B井的预测模型进行验证,与B井的现场数据相比,模型误差百分比为0.37%,均方根误差(RMSE)为4.85,使用压力梯度的模型误差为0.37%。利用Arima模型可以预测处置井注入过程中基于注入策略的井底压力。
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Pemodelan Tekanan Bawah Permukaan Dengan Menggunakan Metode Time Series Dalam Proses Injeksi Slurry di Sumur Disposal Duri Field
Oily sand and water contaminated with oil is part of the results of exploration and exploitation of petroleum categorized as hazardous and toxic waste (B3), it is necessary to carry out special processing into slurry fluid and injection into disposal wells. The main problem in the injection process is the increase in bottom hole pressure during the injection process which causes well plugging problems and hampers oil production activities in the Duri field. The main objective of this research is to determine the best model and safety factor in the injection process using the time series Arima Software ‘R’ method with the parameters of the slurry flow rate and slurry composition based on the injection strategy at injection well B. Forecasting Arima in well B with an injection flow rate of 2,3 m3/minute and a slurry concentration of 25% waste and 75% water is Arima model 3 (1,1,0) with the smallest value of Akaike Information Criteria (AIC) 2,773,98 and the smallest Schwarzt Bayesian Information Criteria (SBC) is 2,781, the average bottom hole pressure predicted is 1,256.4 psi and the average bottom hole pressure from the field data is 1,247.54 psi. Validation of the forecasting model for well B that the percentage of model error compared to field data in well B is 0.37%,  Root Mean Square Error (RMSE) 4,85 and model error using pressure gradient 0,37%. Arima modeling can be applied to predict bottom hole pressure based on the injection strategy in the injection process to the disposal well.
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