diff --git a/Include/nmNum/nmData/nmDataAutomaticFitting.h b/Include/nmNum/nmData/nmDataAutomaticFitting.h
index e2d296bf..e1b1f742 100644
--- a/Include/nmNum/nmData/nmDataAutomaticFitting.h
+++ b/Include/nmNum/nmData/nmDataAutomaticFitting.h
@@ -6,6 +6,20 @@
 #include "nmDataAttribute.h"
 #include <QVector>
 
+// 一项拟合未知量，参数类型仍沿用原来的六种；储层参数的井编码为空。
+struct NM_DATA_EXPORT nmFitParameter
+{
+    nmFitParameter() : type(0), selected(false), initial(0.0), lower(0.0), upper(0.0) {}
+    QString wellCode, wellName;
+    int type; // 0 k，1 Skin，2 C，3 phi，4 Dfc，5 裂缝半长。
+    bool selected;
+    double initial, lower, upper;
+    QString name() const;
+    QString code() const;
+    QString unit() const;
+    QString samplingKey() const;
+};
+
 class NM_DATA_EXPORT nmDataAutomaticFitting : public nmDataBase
 {
     Q_OBJECT
@@ -20,6 +34,11 @@ public:
 	// 实现 nmDataBase 的抽象方法：从 RapidJSON Value 反序列化数据到当前 C++ 对象
 	virtual void FromJsonValue(const rapidjson::Value& jsonValue) override;
 
+    // 多井参数按表格顺序保存，旧项目无此列表时沿用原单井配置。
+    QVector<nmFitParameter>& getModelParameters();
+    const QVector<nmFitParameter>& getModelParameters() const;
+    bool hasSelectedParameters() const;
+
 	// Getter and Setter for permeabilityMax
 	nmDataAttribute& getPermeabilityMax();
 	void setPermeabilityMax(const nmDataAttribute& permeabilityMax);
@@ -97,6 +116,7 @@ public:
 	void setFractureHalfLengthSelected(bool selected);
 
 private:
+    QVector<nmFitParameter> m_modelParameters;
 	// 参数最大值
 	nmDataAttribute m_permeabilityMax;
 	nmDataAttribute m_skinMax;
diff --git a/Include/nmNum/nmData/nmDataSensitive.h b/Include/nmNum/nmData/nmDataSensitive.h
index e8cc11ef..d28dde6b 100644
--- a/Include/nmNum/nmData/nmDataSensitive.h
+++ b/Include/nmNum/nmData/nmDataSensitive.h
@@ -32,6 +32,10 @@ public:
 		QString m_varGroup;
 		// 变量名称
 		QString m_varName;
+        // 井参数使用稳定井编码区分；空编码表示共用储层参数或旧版主井参数。
+        QString m_wellCode;
+        QString displayName() const;
+        QString parameterKey() const;
 		// 是否勾选
 		bool m_enabled;
 		// Mode 枚举
diff --git a/Src/nmNum/nmData/nmDataAutomaticFitting.cpp b/Src/nmNum/nmData/nmDataAutomaticFitting.cpp
index 2ad649a6..680a92a7 100644
--- a/Src/nmNum/nmData/nmDataAutomaticFitting.cpp
+++ b/Src/nmNum/nmData/nmDataAutomaticFitting.cpp
@@ -1,4 +1,6 @@
 #include "nmDataAutomaticFitting.h"
+#include <QCoreApplication>
+#include <QtCore/qnumeric.h>
 
 nmDataAutomaticFitting::nmDataAutomaticFitting()
 {
@@ -44,7 +46,8 @@ nmDataAutomaticFitting::nmDataAutomaticFitting(const nmDataAutomaticFitting& oth
 nmDataAutomaticFitting& nmDataAutomaticFitting::operator=(const nmDataAutomaticFitting& other)
 {
 	if (this != &other) {
-		// 复制参数选择标志
+		// 复制多井参数及原单井配置
+        m_modelParameters = other.m_modelParameters;
 		m_permeabilitySelected = other.m_permeabilitySelected;
 		m_skinSelected = other.m_skinSelected;
 		m_wellboreStorageSelected = other.m_wellboreStorageSelected;
@@ -111,11 +114,51 @@ rapidjson::Value nmDataAutomaticFitting::ToJsonValue(rapidjson::Document::Alloca
 	fittingObject.AddMember("AlgorithmName", rapidjson::Value(m_algorithmName.toStdString().c_str(), allocator).Move(), allocator);
 	fittingObject.AddMember("SurrogateScreeningEnabled", m_surrogateScreeningEnabled, allocator);
 
+    // 多井配置仍存放在原自动拟合节点中，敏感性配置复用同一序列化。
+    rapidjson::Value parameters(rapidjson::kArrayType);
+    for(int i = 0; i < m_modelParameters.size(); ++i) {
+        const nmFitParameter& p = m_modelParameters[i];
+        rapidjson::Value item(rapidjson::kObjectType);
+        item.AddMember("WellCode", rapidjson::Value(p.wellCode.toUtf8().constData(), allocator).Move(), allocator);
+        item.AddMember("WellName", rapidjson::Value(p.wellName.toUtf8().constData(), allocator).Move(), allocator);
+        item.AddMember("Type", p.type, allocator);
+        item.AddMember("Selected", p.selected, allocator);
+        item.AddMember("Initial", p.initial, allocator);
+        item.AddMember("Lower", p.lower, allocator);
+        item.AddMember("Upper", p.upper, allocator);
+        parameters.PushBack(item, allocator);
+    }
+    fittingObject.AddMember("ModelParameters", parameters, allocator);
+
 	return fittingObject;
 }
 
 void nmDataAutomaticFitting::FromJsonValue(const rapidjson::Value& jsonValue)
 {
+    // 缺失列表表示旧版单井设置；非法项不进入优化向量。
+    m_modelParameters.clear();
+    if(jsonValue.HasMember("ModelParameters") && jsonValue["ModelParameters"].IsArray()) {
+        const rapidjson::Value& items = jsonValue["ModelParameters"];
+        for(rapidjson::SizeType i = 0; i < items.Size(); ++i) {
+            const rapidjson::Value& item = items[i];
+            if(!item.IsObject() || !item.HasMember("Type") || !item["Type"].IsInt() ||
+               item["Type"].GetInt() < 0 || item["Type"].GetInt() > 5 ||
+               !item.HasMember("Initial") || !item["Initial"].IsNumber() ||
+               !item.HasMember("Lower") || !item["Lower"].IsNumber() ||
+               !item.HasMember("Upper") || !item["Upper"].IsNumber()) continue;
+            nmFitParameter p;
+            p.type = item["Type"].GetInt();
+            if(item.HasMember("WellCode") && item["WellCode"].IsString()) p.wellCode = QString::fromUtf8(item["WellCode"].GetString());
+            if(item.HasMember("WellName") && item["WellName"].IsString()) p.wellName = QString::fromUtf8(item["WellName"].GetString());
+            p.initial = item["Initial"].GetDouble();
+            p.lower = item["Lower"].GetDouble();
+            p.upper = item["Upper"].GetDouble();
+            if(!qIsFinite(p.initial) || !qIsFinite(p.lower) || !qIsFinite(p.upper) || p.lower > p.upper) continue;
+            p.selected = item.HasMember("Selected") && item["Selected"].IsBool() && item["Selected"].GetBool();
+            m_modelParameters.append(p);
+        }
+    }
+
 	// 反序列化参数选择标志
 	if (jsonValue.HasMember("PermeabilitySelected") && jsonValue["PermeabilitySelected"].IsBool()) {
 		m_permeabilitySelected = jsonValue["PermeabilitySelected"].GetBool();
@@ -268,3 +311,56 @@ void nmDataAutomaticFitting::setAlgorithmName(const QString& algorithmName) { m_
 
 bool nmDataAutomaticFitting::getSurrogateScreeningEnabled() const { return m_surrogateScreeningEnabled; }
 void nmDataAutomaticFitting::setSurrogateScreeningEnabled(bool enabled) { m_surrogateScreeningEnabled = enabled; }
+
+QString nmFitParameter::name() const
+{
+    // 井参数携带井名，共用参数保持原名称和翻译。
+    const char* names[] = {"Permeability", "Skin", "Wellbore storage", "Porosity", "Fracture conductivity", "Fracture half length"};
+    const QString label = QCoreApplication::translate("nmWxAutomaticFitting", names[type]);
+    return wellCode.isEmpty() ? label : wellName + " / " + label;
+}
+
+QString nmFitParameter::code() const
+{
+    // 结果面板继续使用已有 XML 参数编码。
+    const char* codes[] = {"K", "Skin", "C", "phi", "Dfc", "FractureHalfLength"};
+    return codes[type];
+}
+
+QString nmFitParameter::unit() const
+{
+    // 与既有六参数的基准单位一致。
+    const char* units[] = {"mD", "", "m^3/MPa", "", "mD.m", "m"};
+    return units[type];
+}
+
+QString nmFitParameter::samplingKey() const
+{
+    // 同井同参数才与敏感性采样互斥。
+    const QString names[] = {"k", "Skin", "C", QString(QChar(0x03c6)), "Dfc", "FractureHalfLength"};
+    return wellCode.isEmpty() ? names[type] : wellCode + "/" + names[type];
+}
+
+QVector<nmFitParameter>& nmDataAutomaticFitting::getModelParameters()
+{
+    // 窗口在自己的配置副本上编辑。
+    return m_modelParameters;
+}
+
+const QVector<nmFitParameter>& nmDataAutomaticFitting::getModelParameters() const
+{
+    // 后台计算只读取启动前冻结的设置。
+    return m_modelParameters;
+}
+
+bool nmDataAutomaticFitting::hasSelectedParameters() const
+{
+    // 新配置检查完整多井列表，旧配置兼容原六个勾选标志。
+    if(!m_modelParameters.isEmpty()) {
+        for(int i = 0; i < m_modelParameters.size(); ++i)
+            if(m_modelParameters[i].selected) return true;
+        return false;
+    }
+    return m_permeabilitySelected || m_skinSelected || m_wellboreStorageSelected ||
+        m_porositySelected || m_fractureConductivitySelected || m_fractureHalfLengthSelected;
+}
diff --git a/Src/nmNum/nmData/nmDataSensitive.cpp b/Src/nmNum/nmData/nmDataSensitive.cpp
index dab62f08..3d6acbb1 100644
--- a/Src/nmNum/nmData/nmDataSensitive.cpp
+++ b/Src/nmNum/nmData/nmDataSensitive.cpp
@@ -277,6 +277,7 @@ rapidjson::Value nmDataSensitive::VariableSampling::ToJsonValue(
 	rapidjson::Document::AllocatorType& allocator) const
 {
 	rapidjson::Value obj(rapidjson::kObjectType);
+    obj.AddMember("WellCode", rapidjson::Value(m_wellCode.toUtf8().constData(), allocator).Move(), allocator);
 
 	// 字符串字段
 	obj.AddMember("VarGroup",
@@ -320,6 +321,8 @@ void nmDataSensitive::VariableSampling::FromJsonValue(const rapidjson::Value& js
 {
     // 旧文件未保存分布时保留默认状态，由分析窗口按模型值初始化。
     *this = VariableSampling();
+    m_wellCode = jsonValue.HasMember("WellCode") && jsonValue["WellCode"].IsString()
+        ? QString::fromUtf8(jsonValue["WellCode"].GetString()) : QString();
     if(jsonValue.HasMember("Distribution") && jsonValue["Distribution"].IsInt()) {
         const int distribution = jsonValue["Distribution"].GetInt();
         if(distribution >= NORMAL && distribution <= TRIANGULAR)
@@ -385,6 +388,18 @@ void nmDataSensitive::VariableSampling::setVarGroup(const QString& group)
 }
 
 // varName
+QString nmDataSensitive::VariableSampling::displayName() const
+{
+    // 预览与曲线标注同时显示井名，避免不同井的同名参数混淆。
+    return m_wellCode.isEmpty() ? m_varName : m_varGroup + " / " + m_varName;
+}
+
+QString nmDataSensitive::VariableSampling::parameterKey() const
+{
+    // 参数互斥按所属井判断，共用储层参数仍只使用参数名。
+    return m_wellCode.isEmpty() ? m_varName : m_wellCode + "/" + m_varName;
+}
+
 QString nmDataSensitive::VariableSampling::getVarName() const
 {
 	return m_varName;