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#pragma once
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#ifndef PCH_H
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#define PCH_H
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#include "framework.h"
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#endif //PCH_H
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#define HX_API extern "C" _declspec(dllexport)
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#include <iostream>
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#include <vector>
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#include <cmath>
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#include <algorithm>
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#include <fstream>
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#include <ctime>
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#include <iomanip>
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#include <unordered_set>
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#include <Windows.h>
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#ifndef M_PI
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const double M_PI = acos(-1.0);
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#endif
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typedef std::vector<std::vector<std::vector<double>>>dVec3; //三维数组:double
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typedef std::vector<std::vector<double>>dVec2; //二维数组:double
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typedef std::vector<std::vector<int>>iVec2; //二维数组:int
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typedef std::vector<double>dVec1; //一维数组:double
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typedef std::vector<int>iVec1; //一维数组:int
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template<class T> void HX_copy(std::vector<std::vector<std::vector<T>>>& p1, const std::vector<std::vector<std::vector<T>>>& p0)
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{
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int m = p0.size(); p1.resize(m);
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for (int i = 0; i < m; ++i)
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{
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int n = p0[i].size(); p1[i].resize(n);
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for (int j = 0; j < n; ++j)
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{
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int l = p0[i][j].size(); p1[i][j].resize(l);
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for (int k = 0; k < l; ++k)
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{
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p1[i][j][k] = p0[i][j][k];
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}
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}
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}
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}
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template<class T> void HX_copy(std::vector<std::vector<T>>& p1, const std::vector<std::vector<T>>& p0)
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{
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int m = p0.size(); p1.resize(m);
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for (int i = 0; i < m; ++i)
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{
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int n = p0[i].size(); p1[i].resize(n);
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for (int j = 0; j < n; ++j)
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{
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p1[i][j] = p0[i][j];
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}
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}
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}
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template<class T> void HX_copy(std::vector<T>& p1, const std::vector<T>& p0)
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{
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int m = p0.size(); p1.resize(m);
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for (int i = 0; i < m; ++i)
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{
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p1[i] = p0[i];
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}
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}
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template<class T> void HX_copy(std::vector<std::vector<std::vector<T>>>& p1, T*** p0, int m, int* n, int l)
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{
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p1.resize(m);
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for (int i = 0; i < m; ++i)
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{
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p1[i].resize(n[i]);
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for (int j = 0; j < n[i]; ++j)
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{
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p1[i][j].resize(l);
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for (int k = 0; k < l; ++k)
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{
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p1[i][j][k] = p0[i][j][k];
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}
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}
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}
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}
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template<class T> void HX_copy(std::vector<std::vector<T>>& p1, T** p0, int m, int n)
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{
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p1.resize(m);
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for (int i = 0; i < m; ++i)
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{
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p1[i].resize(n);
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for (int j = 0; j < n; ++j)
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{
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p1[i][j] = p0[i][j];
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}
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}
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}
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template<class T> void HX_copy(std::vector<T>& p1, T* p0, int m)
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{
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p1.resize(m);
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for (int i = 0; i < m; ++i)
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{
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p1[i] = p0[i];
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}
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}
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//点结构体
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struct point
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{
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//点结构体
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double x; double y; //点坐标
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point() { x = 0; y = 0; }
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~point() {}
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void set(const double& x_ = 0, const double& y_ = 0) { x = x_; y = y_; }
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void set(const point& p) { x = p.x; y = p.y; }
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};
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struct point3
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{
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double x;
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double y;
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double z;
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point3() { x = 0; y = 0; z = 0; }
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~point3() {}
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point3(const dVec1&p) { x = p[0]; y = p[1]; z = p[2]; }
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point3(const double& x_ = 0, const double& y_ = 0, const double&z_ = 0) { x = x_; y = y_; z = z_;}
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void set(const double& x_ = 0, const double& y_ = 0, const double& z_ = 0) { x = x_; y = y_; z = z_; }
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void set(const point3&p) { x = p.x; y = p.y; z = p.z; }
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};
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//网格结构体
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struct cell
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{
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//网格单元结构体
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std::vector<point> p;
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iVec2 pindex;
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iVec1 isplot;
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cell() {}
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~cell() {}
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};
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//网格算法输入参数结构体
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struct HX_NWTM_GRID_INPUT
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{
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// 网格划分算法输入参数结构体
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dVec2 Boundary; //3D:{x0, y0, z0, x1, y1, z1} //2D:{x0, y0, x1, y1} 边界数据
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dVec2 VerticalWell; //3D:{x0, y0, z0, x1, y1, z1, rw} //2D:{x0, y0, x1, y1, rw} 直井数据
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dVec2 HorizontalWell; //3D:{x0, y0, z0, x1, y1, z1, rw} 水平井数据
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dVec2 FractureVerticalWell; //3D:{x0, y0, z0, x1, y1, z1, wf} //2D:{x0, y0, x1, y1, wf, FC} 压裂直井数据(wf裂缝半宽,m,FC,裂缝导流能力,mD.m(FC为0时为无限导流，大于0时为有限导流))
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dVec3 MultistageFracturedHorizontalWell; //3D:{x0, y0, z0, x1, y1, z1, wf} //2D:{x0, y0, x1, y1, wf, FC} 多级压裂水平井数据(wf裂缝半宽,m,FC,裂缝导流能力,mD.m(FC为0时为无限导流，大于0时为有限导流))
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dVec2 InclinedWell; //3D:{x0, y0, z0, x1, y1, z1, rw} 斜井数据
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dVec2 Fault; //3D:{x0, y0, z0, x1, y1, z1} //2D:{x0, y0, x1, y1} 断层数据
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double GridControl; // 网格大小控制参数
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int D; // 维数
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//默认初始化
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HX_NWTM_GRID_INPUT()
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{
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dVec1 a(3), b(4), c(5), d(6);
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Boundary.resize(4);
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b[0] = -1500.0; b[1] = -1500.0; b[2] = -1500.0; b[3] = 1500.0; Boundary[0] = b;
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b[0] = -1500.0; b[1] = 1500.0; b[2] = 1500.0; b[3] = 1500.0; Boundary[1] = b;
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b[0] = 1500.0; b[1] = 1500.0; b[2] = 1500.0; b[3] = -1500.0; Boundary[2] = b;
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b[0] = 1500.0; b[1] = -1500.0; b[2] = -1500.0; b[3] = -1500.0; Boundary[3] = b;
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VerticalWell.resize(3);
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a[0] = 0; a[1] = 0; a[2] = 0.1; VerticalWell[0] = a;
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a[0] = 1000; a[1] = 1000; a[2] = 0.1; VerticalWell[1] = a;
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a[0] = -1000; a[1] = -1000; a[2] = 0.1; VerticalWell[2] = a;
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HorizontalWell.resize(0);
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FractureVerticalWell.resize(1);
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d[0] = -200; d[1] = -200; d[2] = 200; d[3] = -200; d[4] = 0.05; d[5] = 0; FractureVerticalWell[0] = d;
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MultistageFracturedHorizontalWell.resize(1);
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MultistageFracturedHorizontalWell[0].resize(3, dVec1(5));
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d[0] = -600; d[1] = 600; d[2] = -400; d[3] = 600; d[4] = 0.1; d[5] = 0; MultistageFracturedHorizontalWell[0][0] = d;
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d[0] = -600; d[1] = 400; d[2] = -400; d[3] = 400; d[4] = 0.1; d[5] = 0; MultistageFracturedHorizontalWell[0][1] = d;
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d[0] = -600; d[1] = 200; d[2] = -400; d[3] = 200; d[4] = 0.1; d[5] = 0; MultistageFracturedHorizontalWell[0][2] = d;
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InclinedWell.resize(0);
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Fault.resize(1);
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b[0] = -500; b[1] = 1000; b[2] = 500; b[3] = 500; Fault[0] = b;
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GridControl = 150.0;
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D = 2;
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}
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~HX_NWTM_GRID_INPUT() {}
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};
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//网格算法输出参数结构体(绘图用)
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struct HX_NWTM_GRID_OUTPUT1
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{
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cell TRI_cell; //三角形网格
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cell PEBI_cell; //PEBI网格
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HX_NWTM_GRID_OUTPUT1() {}
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~HX_NWTM_GRID_OUTPUT1() {}
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};
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//网格算法输出参数结构体(模型用)
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struct HX_NWTM_GRID_OUTPUT2
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{
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dVec2 Trinodexy;
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dVec1 Area;
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dVec2 D;
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struct {
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int n;
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dVec2 XiLinw;
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dVec2 lw;
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dVec2 dw;
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dVec1 rw;
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iVec2 inwell;
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dVec1 dwell;
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} ZhiJingNeiBianJie;
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struct {
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int n;
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dVec2 XiLinf;
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dVec2 lf;
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dVec2 df;
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dVec1 xf;
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iVec2 infra;
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iVec1 nf;
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iVec1 jjf;
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iVec1 jjfl;
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dVec1 lfcd;
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iVec2 infra1;
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dVec2 lf1;
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dVec2 df1;
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} LieFengJingNeiBianJie;
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struct {
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int n;
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dVec2 XiLinh;
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dVec2 lh;
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dVec2 dh;
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dVec2 dsxf;
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iVec2 inhor;
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iVec1 nhor;
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dVec2 areah;
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iVec2 inhor1;
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iVec2 nh;
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iVec2 jjh;
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dVec2 hfcd;
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iVec2 jjhl;
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iVec2 jjh2;
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iVec2 inhor2;
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dVec2 lh1;
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dVec2 dh1;
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} DuoJiYaLieShuiPingJingNeiBianJie;
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struct {
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int n;
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dVec2 WaiBianh;
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dVec2 WaiBianl;
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dVec2 WaiBiand;
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} WaiBianJie;
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struct {
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int n;
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dVec2 faultb1;
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dVec2 faultb2;
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dVec2 faultl1;
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dVec2 faultd1;
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} NeiBuDuanCeng;
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struct {
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iVec1 ia;
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iVec1 ja;
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iVec2 nzeros;
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int numk;
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} YuChuLiJuZhen;
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HX_NWTM_GRID_OUTPUT2() {}
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~HX_NWTM_GRID_OUTPUT2() {}
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};
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//KRINGING插值输入参数结构体
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struct HX_KRING_INPUT
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{
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double nugget; //块金值:表示空间点在零距离处的变异程度，即测量误差和小于采样尺度的随机变异之和
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double sill; //基台值:表示变差函数随距离增加而趋于稳定的极限值，反映区域化变量的总变异程度
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double range; //变程:表示空间相关性的有效距离。当两点间距离超过 range 时，它们之间不再具有空间相关性
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double model; //变差函数模型:指定变差函数的数学形式，描述空间相关性随距离的变化规律{, , }
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//高斯模型SPHERICAL(0)：相关性随距离增加呈指数衰减，适用于连续性较强的变量
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//指数模型EXPONENTIAL(1)：相关性快速衰减，适用于局部变异性较大的变量
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//球状模型GAUSSIAN(2)：在变程内呈抛物线变化，超过变程后相关性为零
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dVec2 p; //插值点
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dVec2 v; //
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~HX_KRING_INPUT() {}
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HX_KRING_INPUT(double nugget0, double sill0, double range0, double model0 , const dVec2& p0, const dVec2& v0)
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{
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nugget = nugget0; sill = sill0; range = range0; model = model0;
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p = p0;
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v = v0;
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}
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};
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//KRINGING插值输出参数结构体
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struct HX_KRING_OUTPUT
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{
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dVec1 v;
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HX_KRING_OUTPUT() {}
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~HX_KRING_OUTPUT() {}
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};
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//数值试井模型求解器输入参数结构体
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struct HX_NWTM_MODEL_INPUT
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{
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int T; //1:油单相常数pvt; 2:油单相变化pvt; 3:水单相常数pvt; 4:水单相变化pvt; 5:气单相变化pvt; 6:气单相拟压力; 7:油气两相; 8:油水两相; 9:气水两相; 10:油气水三相
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HX_NWTM_GRID_OUTPUT2 GRID;
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struct Rate //流量数据
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{
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dVec2 t; //时间, h [一口井一组数]
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dVec2 qo; //油流量,m^3/d [一口井一组数]
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dVec2 qg; //气流量,m^3/d [一口井一组数]
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dVec2 qw; //水流量,m^3/d [一口井一组数]
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}Rate;
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struct Pressure //压力数据
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{
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dVec2 t; //时间, h [一口井一组数]
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dVec2 p; //压力, MPa [一口井一组数]
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}Pressure;
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struct CS //井储表皮数据
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{
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dVec1 C; //井储, m^3/MPa [一口井一个数]
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dVec1 S; //表皮, [一口井一个数]
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}CS;
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struct PVT //流体性质数据
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{
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dVec1 p; //压力, MPa
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double pb; //饱和压力, MPa
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dVec1 Rso; //溶解气油比, m^3/m^3
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dVec1 Bo; //油体积系数, m^3/m^3
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dVec1 Co; //油压缩系数, 1/MPa
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dVec1 miuo; //油粘度, mPa·s
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dVec1 rouo; //油密度, kg/m^3
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dVec1 Rv; //凝析油气比, m^3/m^3
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dVec1 Bg; //气体积系数, m^3/m^3
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dVec1 Cg; //气压缩系数, 1/MPa
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dVec1 miug; //气粘度, mPa·s
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dVec1 roug; //气密度, kg/m^3
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dVec1 Z; //气偏差因子, 1
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dVec1 Rsw; //溶解气水比, m^3/m^3
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dVec1 Bw; //水体积系数, m^3/m^3
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dVec1 Cw; //水压缩系数, 1/MPa
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dVec1 miuw; //水粘度, mPa·s
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dVec1 rouw; //水密度, kg/m^3
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dVec1 V; //吸附气量, m^3/kg
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dVec1 k_kinitial; //渗透率比, 1
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dVec1 Cf_Cfinitial; //岩石压缩系数比, 1
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dVec1 So; //油饱和度
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dVec1 Kro; //油相对渗透率
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dVec1 Sg; //气饱和度
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dVec1 Krg; //气相对渗透率
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dVec1 Sw; //水饱和度
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dVec1 Krw; //水相对渗透率
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}PVT;
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struct Base //基础数据
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{
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double Pi; //初始压力, MPa
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double Cti; //综合压缩系数, 1/MPa
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double Cf; //岩石压缩系数, 1/MPa
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double Soi; //初始含油饱和度
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double Sgi; //初始含气饱和度
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double Swi; //初始含水饱和度
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dVec1 k; //渗透率, D [一个网格单元一个值]
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dVec1 phi; //孔隙度, 1 [一个网格单元一个值]
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dVec1 h; //储层厚度, m [一个网格单元一个值]
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double d; //时间增长指数
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double dt_Min; //最小时间间隔, h
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double dt_Max; //最大时间间隔, h
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}Base;
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//初始化
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HX_NWTM_MODEL_INPUT() {}
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~HX_NWTM_MODEL_INPUT() {}
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HX_NWTM_MODEL_INPUT(const HX_NWTM_GRID_OUTPUT2& p0)
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{
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T =1;
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GRID = p0;
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Rate.t.resize(5);
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Rate.qo.resize(5);
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Rate.qw.resize(5);
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Rate.qg.resize(5);
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Rate.t[0].resize(2); Rate.t[0][0] = 2000; Rate.t[0][1] = 500;
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Rate.qo[0].resize(2); Rate.qo[0][0] = 10; Rate.qo[0][1] = 0;
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Rate.qw[0].resize(2); Rate.qw[0][0] = 2; Rate.qw[0][1] = 0;
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Rate.qg[0].resize(2); Rate.qg[0][0] = 20000; Rate.qg[0][1] = 0;
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Rate.t[1].resize(0);
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Rate.qo[1].resize(0);
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Rate.qw[1].resize(0);
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Rate.qg[1].resize(0);
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Rate.t[2].resize(3); Rate.t[2][0] = 1000; Rate.t[2][1] = 1000; Rate.t[2][2] = 500;
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Rate.qo[2].resize(3); Rate.qo[2][0] = 30; Rate.qo[2][1] = 40; Rate.qo[2][2] = 20;
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Rate.qw[2].resize(3); Rate.qw[2][0] = 3; Rate.qw[2][1] = 4; Rate.qw[2][2] = 2;
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Rate.qg[2].resize(3); Rate.qg[2][0] = 30000; Rate.qg[2][1] = 40000; Rate.qg[2][2] = 20000;
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Rate.t[3].resize(2); Rate.t[3][0] = 1500; Rate.t[3][1] = 1000;
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Rate.qo[3].resize(2); Rate.qo[3][0] = 30; Rate.qo[3][1] = 20;
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Rate.qw[3].resize(2); Rate.qw[3][0] = 5; Rate.qw[3][1] = 2;
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Rate.qg[3].resize(2); Rate.qg[3][0] = 50000; Rate.qg[3][1] = 20000;
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Rate.t[4].resize(2); Rate.t[4][0] = 1000; Rate.t[4][1] = 1500;
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Rate.qo[4].resize(2); Rate.qo[4][0] = -50; Rate.qo[4][1] = -60;
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Rate.qw[4].resize(2); Rate.qw[4][0] = -2; Rate.qw[4][1] = -5;
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Rate.qg[4].resize(2); Rate.qg[4][0] = -20000; Rate.qg[4][1] = -50000;
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Pressure.t.resize(0);
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Pressure.p.resize(0);
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CS.C.resize(5);
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CS.C[0] = 0.1; CS.C[1] = 0.1; CS.C[2] = 0.1; CS.C[3] = 0.1; CS.C[4] = 0.1;
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CS.S.resize(5);
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CS.S[0] = 0.1; CS.S[1] = 0.1; CS.S[2] = 0.1; CS.S[3] = 0.1; CS.S[4] = 0.1;
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PVT.p = dVec1(200, 0); for (int i = 0; i < 200; ++i) { PVT.p[i] = (i + 1.0); }
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PVT.pb = 40.0;
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PVT.Rso = dVec1(200, 0);
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PVT.Bo = dVec1(200, 1.2);
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PVT.Co = dVec1(200, 5e-4);
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PVT.miuo = dVec1(200, 0.5);
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PVT.rouo = dVec1(200, 800);
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PVT.Rv = dVec1(200, 0);
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PVT.Bg = dVec1(200, 5e-3);
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PVT.Cg = dVec1(200, 2e-2);
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PVT.miug = dVec1(200, 2e-2);
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PVT.roug = dVec1(200, 200);
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PVT.Z = dVec1(200, 1);
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PVT.Rsw = dVec1(200, 0);
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PVT.Bw = dVec1(200, 1.05);
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PVT.Cw = dVec1(200, 1e-4);
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PVT.miuw = dVec1(200, 0.8);
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PVT.rouw = dVec1(200, 1000);
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PVT.V = dVec1(200, 0);
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PVT.k_kinitial = dVec1(200, 1);
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PVT.Cf_Cfinitial = dVec1(200, 1);
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PVT.So = dVec1(81, 0); for (int i = 0; i < 81; ++i) { PVT.So[i] = (0.1+i*0.01); }
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PVT.Kro = dVec1(81, 0); for (int i = 0; i < 81; ++i) { PVT.Kro[i] = (i*0.0125); }
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PVT.Krw = dVec1(81, 0); for (int i = 0; i < 81; ++i) { PVT.Krw[i] = (1 - i * 0.0125); }
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PVT.Sg = dVec1(100, 0);
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PVT.Krg = dVec1(100, 0);
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PVT.Sw = dVec1(100, 0);
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Base.Pi = 40.0;
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Base.Cti = 1e-3;
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Base.Cf = 1e-4;
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Base.Soi = 0.8;
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Base.Sgi = 0.0;
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Base.Swi = 0.2;
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Base.k = dVec1(p0.Trinodexy.size(), 0.001);
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Base.phi = dVec1(p0.Trinodexy.size(), 0.1);
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Base.h = dVec1(p0.Trinodexy.size(), 10);
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Base.d = 1.05;
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Base.dt_Min = 0.0025;
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Base.dt_Max = 12.5;
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}
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};
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//数值试井模型求解器输出参数结构体
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struct HX_NWTM_MODEL_OUTPUT
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{
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dVec1 t; //时间, h
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dVec2 pw; //井底压力, MPa [一口井一组数]
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dVec2 p; //压力分布, MPa [一个时间一组数]
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dVec2 So; //油饱和度分布 [一个时间一组数]
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dVec2 Sg; //气饱和度分布 [一个时间一组数]
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dVec2 Sw; //水饱和度分布 [一个时间一组数]
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dVec2 k; //渗透率分布,mD [一个时间一组数]
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HX_NWTM_MODEL_OUTPUT() {}
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~HX_NWTM_MODEL_OUTPUT() {}
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};
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HX_API void HX_NWTM_GRID(HX_NWTM_GRID_OUTPUT1& p1, HX_NWTM_GRID_OUTPUT2& p2, const HX_NWTM_GRID_INPUT& p0, std::string LIC); //数值试井网格接口
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HX_API void HX_NWTM_KRINGING(HX_KRING_OUTPUT& p1, const HX_KRING_INPUT p0, std::string LIC); //数值试井非均质性计算接口
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HX_API void HX_NWTM_MODEL(HX_NWTM_MODEL_OUTPUT& p1, const HX_NWTM_MODEL_INPUT& p0, std::string LIC); //数值试井模型求解器接口
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