CAJ | 학술논문

利用长时井下压力计监测井下生产在提高油藏和油井管理方面正发挥着越来越重要的作用。在长时井下压力监测数据的解释过程中，准确地确定流动变化过程起始时间至关重要，但由于其庞大的数据量而使得手工划分和处理这些数据不切实际。基于小波模极值理论和噪声鲁棒微分算法，利用模拟的井下压力数据对比研究了长时井下压力监测数据中流动变化过程（突变点）的识别方法。结果表明：小波模极值方法的误识别率相对较高，对噪声比较敏感，在采用该方法之前必须对数据进行降噪处理；而基于噪声鲁棒微分算法的二阶导数识别方法可以准确、有效地识别出流动变化过程，并且对噪声具有稳健性，可以在不对信号进行降噪处理的情况下识别流动过程。研究结果为自动处理长时井下监测数据提供了一种新的手段。
이용장시정하압력계감측정하생산재제고유장화유정관리방면정발휘착월래월중요적작용。재장시정하압력감측수거적해석과정중，준학지학정류동변화과정기시시간지관중요，단유우기방대적수거량이사득수공화분화처리저사수거불절실제。기우소파모겁치이론화조성로봉미분산법，이용모의적정하압력수거대비연구료장시정하압력감측수거중류동변화과정（돌변점）적식별방법。결과표명：소파모겁치방법적오식별솔상대교고，대조성비교민감，재채용해방법지전필수대수거진행강조처리；이기우조성로봉미분산법적이계도수식별방법가이준학、유효지식별출류동변화과정，병차대조성구유은건성，가이재불대신호진행강조처리적정황하식별류동과정。연구결과위자동처리장시정하감측수거제공료일충신적수단。
The real-time monitoring technology of the downhole conditions with permanent downhole pressure gauge is playing an important role in improving reservoir and well management. During the interpretation of permanent downhole pressure data, it is vital to acquire a good well-test result that accurately identifies the beginning time of new transient flow. Due to the large volume of the collected data by permanent downhole gauge,it is impractical to partition and process these data manually. Based on wavelet transform module maximum theory and noise-robust differentiator,the identification methods of transient flow from permanent downhole pressure data are investigated with the synthetic data. The results show that the wavelet transform module maximum method may not identify some key transient flows,and it is sensitive to the noise. The data must be de-noised before using this method. But with the noise-robust differentiator,the transient flow can be identified accurately and effectively using its 2nd derivative. It is robust to noise and can be used to identify the transient flow without data de-noising. The study provides a new automatic method to process the permanent downhole data.