中国有色金属学报
中國有色金屬學報
중국유색금속학보
THE CHINESE JOURNAL OF NONFERROUS METALS
2013年
9期
2498-2505
,共8页
崔益安%李溪阳%向恩明%柳建新%朱肖雄%纪铜鑫%佟铁钢
崔益安%李溪暘%嚮恩明%柳建新%硃肖雄%紀銅鑫%佟鐵鋼
최익안%리계양%향은명%류건신%주초웅%기동흠%동철강
联合反演%双频激电%粒子群优化算法%视电阻率%极化率
聯閤反縯%雙頻激電%粒子群優化算法%視電阻率%極化率
연합반연%쌍빈격전%입자군우화산법%시전조솔%겁화솔
joint inversion%dual frequency IP%particle swarm optimization%resistivity%polarizability
双频激电法是一种非常有效的探测极化目标体的勘探方法,可以同时观测获取视电阻率和极化率数据。为了提高双频激电观测数据解译的可靠性,利用粒子群优化算法对电阻率数据和极化率进行联合反演。在对异常目标体采用旋转椭球体进行几何近似模拟的基础上,基于Core-Core散射理论实现双频激电法的快速数值模拟计算,为粒子群优化联合反演提供正演基础。在对粒子群优化算法参数进行分析设定的基础上设计了联合反演算法,并采用加入不同程度噪声的模拟双频激电数据对算法进行了实验测试。测试结果表明:粒子群优化联合反演算法能有效实现电阻率与极化率数据的联合反演,具有很强的抗噪声能力,且算法收敛快、稳定性好。进一步的实测数据联合反演测试还表明:该算法具有较低的模型初始信息依赖性,在给定较大搜索空间的条件下仍能反演出较为满意的结果模型,具有较好的实用性。
雙頻激電法是一種非常有效的探測極化目標體的勘探方法,可以同時觀測穫取視電阻率和極化率數據。為瞭提高雙頻激電觀測數據解譯的可靠性,利用粒子群優化算法對電阻率數據和極化率進行聯閤反縯。在對異常目標體採用鏇轉橢毬體進行幾何近似模擬的基礎上,基于Core-Core散射理論實現雙頻激電法的快速數值模擬計算,為粒子群優化聯閤反縯提供正縯基礎。在對粒子群優化算法參數進行分析設定的基礎上設計瞭聯閤反縯算法,併採用加入不同程度譟聲的模擬雙頻激電數據對算法進行瞭實驗測試。測試結果錶明:粒子群優化聯閤反縯算法能有效實現電阻率與極化率數據的聯閤反縯,具有很彊的抗譟聲能力,且算法收斂快、穩定性好。進一步的實測數據聯閤反縯測試還錶明:該算法具有較低的模型初始信息依賴性,在給定較大搜索空間的條件下仍能反縯齣較為滿意的結果模型,具有較好的實用性。
쌍빈격전법시일충비상유효적탐측겁화목표체적감탐방법,가이동시관측획취시전조솔화겁화솔수거。위료제고쌍빈격전관측수거해역적가고성,이용입자군우화산법대전조솔수거화겁화솔진행연합반연。재대이상목표체채용선전타구체진행궤하근사모의적기출상,기우Core-Core산사이론실현쌍빈격전법적쾌속수치모의계산,위입자군우화연합반연제공정연기출。재대입자군우화산법삼수진행분석설정적기출상설계료연합반연산법,병채용가입불동정도조성적모의쌍빈격전수거대산법진행료실험측시。측시결과표명:입자군우화연합반연산법능유효실현전조솔여겁화솔수거적연합반연,구유흔강적항조성능력,차산법수렴쾌、은정성호。진일보적실측수거연합반연측시환표명:해산법구유교저적모형초시신식의뢰성,재급정교대수색공간적조건하잉능반연출교위만의적결과모형,구유교호적실용성。
Dual frequency IP method is very effective to detect polarizable targets even in mountain terrains. Both resistivity and polarizability data can be observed during dual frequency IP measurement. In order to interpret dual frequency IP data quantitatively and more accurately, a joint inversion was proposed based on particle swarm optimization (PSO). Through simulating anomalies by ellipsoids, the forward of dual frequency IP can be given based on Core-Core theory, which provides the foundation to implement joint inversion by PSO. After selecting appropriate PSO algorithm parameters, the joint inversion is designed meticulously. Then synthetic data with noise in different degrees is used to test the joint inversion algorithm. The results of testing show that the joint inversion is effective to invert dual frequency IP data with high tolerance to noise and fast convergence. Further field data tests demonstrate that the PSO inversion is not sensitive to the initial model information. It can get a satisfactory result model even in a large given search space. That is very meaningful for interpreting field data in dual frequency IP observation.