地球科学与环境学报
地毬科學與環境學報
지구과학여배경학보
JOURNAL OF EARTH SCIENCES AND ENVIRONMENT
2014年
4期
99-106
,共8页
边会媛%王飞%岳崇旺%张永浩
邊會媛%王飛%嶽崇旺%張永浩
변회원%왕비%악숭왕%장영호
测井学%流体识别%弹性参数%气层指标%支持向量机%敏感度%交会图%致密砂岩
測井學%流體識彆%彈性參數%氣層指標%支持嚮量機%敏感度%交會圖%緻密砂巖
측정학%류체식별%탄성삼수%기층지표%지지향량궤%민감도%교회도%치밀사암
well logging%fluid identity%elastic parameter%gas formation indicator%support vector machine%sensitivity%crossplot%tight sandstone reservoir
鄂尔多斯盆地苏里格气田致密砂岩储层的孔隙结构复杂，储层低孔、低渗、非均质性特征明显，储层流体识别困难。基于偶极声波测井资料，以致密砂岩岩石弹性参数为基础，利用指标法、交会图分析法、支持向量机进行储层流体性质识别的方法研究。结果表明：纵横波时差比、地层压缩系数与泊松比比值、纵波弹性模量差比可以作为气层识别的指标；引入流体敏感度评价参数，优选出能敏感反映储层含气性的弹性参数，如拉梅系数与密度之积、拉梅系数、体积模量、拉梅系数与剪切模量之比、弹性模量，结合支持向量机对流体进行识别，能够提高流体识别精度；对有试气结论的储层样本进行实际分类处理，利用支持向量机判别样本的成功率为92％。通过对苏里格气田的X350井进行实际分类处理，并经过试气结论验证，证明优选能敏感反映储层含气性的弹性参数，结合支持向量机对储层流体进行识别的方法是切实可行的。
鄂爾多斯盆地囌裏格氣田緻密砂巖儲層的孔隙結構複雜，儲層低孔、低滲、非均質性特徵明顯，儲層流體識彆睏難。基于偶極聲波測井資料，以緻密砂巖巖石彈性參數為基礎，利用指標法、交會圖分析法、支持嚮量機進行儲層流體性質識彆的方法研究。結果錶明：縱橫波時差比、地層壓縮繫數與泊鬆比比值、縱波彈性模量差比可以作為氣層識彆的指標；引入流體敏感度評價參數，優選齣能敏感反映儲層含氣性的彈性參數，如拉梅繫數與密度之積、拉梅繫數、體積模量、拉梅繫數與剪切模量之比、彈性模量，結閤支持嚮量機對流體進行識彆，能夠提高流體識彆精度；對有試氣結論的儲層樣本進行實際分類處理，利用支持嚮量機判彆樣本的成功率為92％。通過對囌裏格氣田的X350井進行實際分類處理，併經過試氣結論驗證，證明優選能敏感反映儲層含氣性的彈性參數，結閤支持嚮量機對儲層流體進行識彆的方法是切實可行的。
악이다사분지소리격기전치밀사암저층적공극결구복잡，저층저공、저삼、비균질성특정명현，저층류체식별곤난。기우우겁성파측정자료，이치밀사암암석탄성삼수위기출，이용지표법、교회도분석법、지지향량궤진행저층류체성질식별적방법연구。결과표명：종횡파시차비、지층압축계수여박송비비치、종파탄성모량차비가이작위기층식별적지표；인입류체민감도평개삼수，우선출능민감반영저층함기성적탄성삼수，여랍매계수여밀도지적、랍매계수、체적모량、랍매계수여전절모량지비、탄성모량，결합지지향량궤대류체진행식별，능구제고류체식별정도；대유시기결론적저층양본진행실제분류처리，이용지지향량궤판별양본적성공솔위92％。통과대소리격기전적X350정진행실제분류처리，병경과시기결론험증，증명우선능민감반영저층함기성적탄성삼수，결합지지향량궤대저층류체진행식별적방법시절실가행적。
Tight sandstone reservoirs in Sulige gasfield of Ordos Basin have the characteristics of complicated pore structure,low porosity,low permeability and strong heterogeneity,and the fluid identification of reservoir is difficult.According to the dipole acoustic logging data,based on rock elastic parameters of tight sandstone,fluid properties of tight sandstone reservoir identified by index method,crossplot method and support vector machine were discussed.The results show that ratio of time differences of longitudinal and shear waves,ratio of compressibility and poisson ratio and ratio of differences of elasticity moduli of longitudinal wave can be used to identify the gas reservoir;the gas-sensitive elastic parameters are selected optimally, which are fluid sensibility evaluation parameters including product of Lame coefficient and density, Lame coefficient,bulk modulus,ratio of Lame coefficient and shear modulus and elasticity modulus, and the accuracy of fluid identified by support vector machine is improved;compared with the gas production test results of reservoir sample,the prediction matching rate reaches 92% by support vector machine.Finally,well X350 in Sulige gasfield was used to verify the gas production test results.It is verified that the gas-sensitive elastic parameters selected optimally are used to identify the reservoir fluid by the means of support vector machine.
