CAJ | 학술논문

随着勘探技术的不断发展，研究的不断深入，对油气层预测的精度越来越高。为了提高参数识别的精度，同时，为了应用地化数据实现储层的参数识别与评价，文中通过引入数据归一化算法来克服各方面因素对预测结果的干扰，并借助基于NNFR的神经模糊推理来帮助实现参数的识别与评价。通过建立参数预测的分析步骤方法最终完成对储层参数的识别。并为验证理论模型的正确性，通过对7口井12个试油井的井段数据井进行测试与验证，证实了该方法的可行性。
수착감탐기술적불단발전，연구적불단심입，대유기층예측적정도월래월고。위료제고삼수식별적정도，동시，위료응용지화수거실현저층적삼수식별여평개，문중통과인입수거귀일화산법래극복각방면인소대예측결과적간우，병차조기우NNFR적신경모호추리래방조실현삼수적식별여평개。통과건립삼수예측적분석보취방법최종완성대저층삼수적식별。병위험증이론모형적정학성，통과대7구정12개시유정적정단수거정진행측시여험증，증실료해방법적가행성。
With the continuous development of exploration technology and research is studied deeply,the hydrocarbon reservoir prediction accuracy is higher and higher. In order to improve the precision of parameter identification,at the same time,apply geochemical data to a-chieve the parameters identification and evaluation of reservoir,by the introduction of data normalization algorithm,overcome the various interferences on the prediction results,and by means of NNFR to identify and evaluate the parameters. By establishing the procedure of analyzing method,it recognizes the reservoir parameters. In order to verify the correctness of the theory and model,it tests the data units of 12 test wells in 7 wells,which proves the feasibility of the method.