Пример #1
0
def test_emarray():
    out = utils.EMArray(3)
    assert out.amp == 3
    assert out.pha == 0
    assert out.real == 3
    assert out.imag == 0

    out = utils.EMArray(1, 1)
    assert out.amp == np.sqrt(2)
    assert out.pha == 45.
    assert out.real == 1
    assert out.imag == 1

    out = utils.EMArray([1, 0], [1, 1])
    assert_allclose(out.amp, [np.sqrt(2), 1])
    assert_allclose(out.pha, [45., 90.])
    assert_allclose(out.real, [1, 0])
    assert_allclose(out.imag, [1, 1])
Пример #2
0
def test_emarray():
    out = utils.EMArray(3)
    assert out.amp() == 3
    assert out.pha() == 0
    assert out.real == 3
    assert out.imag == 0

    out = utils.EMArray(1 + 1j)
    assert out.amp() == np.sqrt(2)
    assert_allclose(out.pha(), np.pi / 4)
    assert out.real == 1
    assert out.imag == 1

    out = utils.EMArray([1 + 1j, 0 + 1j, -1 - 1j])
    assert_allclose(out.amp(), [np.sqrt(2), 1, np.sqrt(2)])
    assert_allclose(out.pha(unwrap=False),
                    [np.pi / 4, np.pi / 2, -3 * np.pi / 4])
    assert_allclose(out.pha(deg=True, unwrap=False), [45., 90., -135.])
    assert_allclose(out.pha(deg=True, unwrap=False, lag=False),
                    [-45., -90., 135.])
    assert_allclose(out.pha(deg=True, lag=False), [-45., -90., -225.])
    assert_allclose(out.real, [1, 0, -1])
    assert_allclose(out.imag, [1, 1, -1])
Пример #3
0
def csem_layered_earth(
    srcloc,
    rxlocs,
    depth,
    res,
    aniso,
    frequency,
    nlayers=5,
    src_type="electric",
    rx_type="electric",
    src_direction="x",
    rx_direction="x",
    verb=0,
):
    """
    Simulating CSEM response in a layered earth
    """
    # Safety checks
    if len(depth) != nlayers - 1:
        raise Exception("Length of depth should be nlayers-1")
    if len(res) != nlayers:
        raise Exception("Length of res should be nlayers")
    if len(aniso) != nlayers:
        raise Exception("Length of aniso should be nlayers")

    if srcloc.size != 3:
        raise Exception("size of srcloc should be 3! (x, y, z) location")

    rxlocs = np.atleast_2d(rxlocs)

    if src_direction == "x":
        src = np.r_[srcloc.flatten(), 0.0, 0.0].tolist()
    elif src_direction == "y":
        src = np.r_[srcloc.flatten(), 90.0, 0.0].tolist()
    elif src_direction == "z":
        src = np.r_[srcloc.flatten(), 0.0, 90.0].tolist()
    else:
        raise Exception("src_direction should be x, y, or z")

    if rx_direction == "x":
        rx = [rxlocs[:, 0], rxlocs[:, 1], rxlocs[:, 2], 0.0, 0.0]
    elif rx_direction == "y":
        rx = [rxlocs[:, 0], rxlocs[:, 1], rxlocs[:, 2], 90.0, 0.0]
    elif rx_direction == "z":
        rx = [rxlocs[:, 0], rxlocs[:, 1], rxlocs[:, 2], 0.0, 90.0]
    else:
        raise Exception("rx_direction should be x, y, or z")
    if rx_type == "electric":
        rx_type = None
    if src_type == "electric":
        src_type = None
    if len(np.unique(np.array(res))) == 1:
        xdirect = True
    else:
        xdirect = False
    inpdat = {
        "res": res,
        "src": src,
        "rec": rx,
        "depth": depth,
        "freqtime": frequency,
        "aniso": aniso,
        "verb": verb,
        "xdirect": xdirect,
        "mrec": rx_type,
        "msrc": src_type,
    }
    out = bipole(**inpdat)
    return utils.EMArray(out)
Пример #4
0
def csem_data_app(
    frequency,
    zsrc,
    zrx,
    rho0,
    rho1,
    rho2,
    rho3,
    rho4,
    rv_rh,
    dz1,
    dz2,
    dz3,
    frequency_bg,
    zsrc_bg,
    zrx_bg,
    rho0_bg,
    rho1_bg,
    rho2_bg,
    rho3_bg,
    rho4_bg,
    rv_rh_bg,
    dz1_bg,
    dz2_bg,
    dz3_bg,
    Field,
    Plane,
    Component,
    Complex,
    scale,
    Fixed,
    vmin,
    vmax,
):
    rcParams["font.size"] = 16
    # lamda0, lamda1, lamda2, lamda3, lamda4 = 1.0, 1.0, 1.0, 1.0, 1.0
    d = np.r_[0.0, np.cumsum(np.r_[dz1, dz2, dz3])]
    depth = [d[0], d[1], d[2], d[3]]  # Layer boundaries
    d_bg = np.r_[0.0, np.cumsum(np.r_[dz1_bg, dz2_bg, dz3_bg])]
    depth_bg = [d_bg[0], d_bg[1], d_bg[2], d_bg[3]]  # Layer boundaries

    res = [rho0, rho1, rho2, rho3, rho4]  # Anomaly resistivities
    res_bg = [rho0_bg, rho1_bg, rho2_bg, rho3_bg,
              rho4_bg]  # Anomaly resistivities
    aniso = [
        1.0,
        1.0,
        np.sqrt(rv_rh),
        1.0,
        1.0,
    ]  # Layer anisotropies (same for anomaly and background)
    aniso_bg = [
        1.0,
        1.0,
        np.sqrt(rv_rh_bg),
        1.0,
        1.0,
    ]  # Layer anisotropies (same for anomaly and background)

    # Modelling parameters
    # verb = 1

    # Spatial parameters
    dx = 100.0
    dy = 100.0
    nrx = 200
    x = np.r_[np.arange(nrx) * dx + dx]  # Offsets
    y = np.r_[np.arange(nrx) * dy + dy]  # Offsets
    z = np.ones_like(x) * -zrx
    srcloc = np.r_[0.0, 0.0, -zsrc]
    srcloc = np.r_[0.0, 0.0, -zsrc]

    if Plane == "XZ":
        rxlocs = np.c_[x, np.zeros_like(x), z]
        xlabel = "X offset (m)"
        # x0 = y.copy()

    elif Plane == "YZ":
        rxlocs = np.c_[np.zeros_like(x), y, z]
        xlabel = "Y offset (m)"
        # x0 = x.copy()

    if Field == "E":
        label = "Electric field (V/m)"
        data = csem_layered_earth(srcloc,
                                  rxlocs,
                                  depth,
                                  res,
                                  aniso,
                                  frequency,
                                  rx_direction=Component)
        data_bg = csem_layered_earth(
            srcloc,
            rxlocs,
            depth_bg,
            res_bg,
            aniso_bg,
            frequency_bg,
            rx_direction=Component,
        )

    elif Field == "H":
        label = "Magnetic field (A/m)"
        data = csem_layered_earth(
            srcloc,
            rxlocs,
            depth,
            res,
            aniso,
            frequency,
            rx_direction=Component,
            rx_type="magnetic",
        )
        data_bg = csem_layered_earth(
            srcloc,
            rxlocs,
            depth_bg,
            res_bg,
            aniso_bg,
            frequency_bg,
            rx_direction=Component,
            rx_type="magnetic",
        )

    elif Field == "Zxy":
        label = "Impedance (V/A)"
        data_ex = csem_layered_earth(srcloc,
                                     rxlocs,
                                     depth,
                                     res,
                                     aniso,
                                     frequency,
                                     rx_direction="x")
        data_ex_bg = csem_layered_earth(srcloc,
                                        rxlocs,
                                        depth_bg,
                                        res_bg,
                                        aniso_bg,
                                        frequency_bg,
                                        rx_direction="x")
        data_hy = csem_layered_earth(
            srcloc,
            rxlocs,
            depth_bg,
            res_bg,
            aniso_bg,
            frequency_bg,
            rx_direction="y",
            rx_type="magnetic",
        )
        data_hy_bg = csem_layered_earth(
            srcloc,
            rxlocs,
            depth_bg,
            res_bg,
            aniso_bg,
            frequency_bg,
            rx_direction="y",
            rx_type="magnetic",
        )
        data = utils.EMArray(data_ex / data_hy)
        data_bg = utils.EMArray(data_ex_bg / data_hy_bg)

    if Complex == "Real":
        val = data.real
        val_bg = data_bg.real
    elif Complex == "Imag":
        val = data.imag
        val_bg = data_bg.imag
    elif Complex == "Amp":
        if Field == "Zxy":
            label = "Apparent Resistivity ($\Omega$m)"
            val = abs(data)**2 / (2 * frequency * np.pi * mu_0)
            val_bg = abs(data_bg)**2 / (2 * frequency_bg * np.pi * mu_0)
        else:
            val = data.amp
            val_bg = data_bg.amp
    elif Complex == "Phase":
        label = "Phase (degree)"
        val = data.pha
        val_bg = data_bg.pha

    plt.figure(figsize=(8 * 1.4, 3 * 1.4))
    ax = plt.subplot(111)
    if scale == "log":
        ax.plot(x, abs(val), "r")
        ax.plot(x, abs(val_bg), "k")
    elif scale == "linear":
        ax.plot(x, val, "r")
        ax.plot(x, val_bg, "k")
    ax.grid(True)
    ax.set_xlabel(xlabel)
    ax.set_ylabel(label)
    ax.set_yscale(scale)
    ax.legend(("Response", "Background"))
    if Complex == "Amp":
        if Field == "Zxy":
            title = "$\\rho_{xy}$"
        else:
            title = "|" + Field + Component + "|"
    else:
        if Field == "Zxy":
            title = Complex + "(" + Field + ")"
        else:
            title = Complex + "(" + Field + Component + ")"
    ax.set_title(title)
    if Fixed:
        ax.set_ylim(vmin, vmax)
    plt.show()
Пример #5
0
def csem_layered_earth(srcloc,
                       rxlocs,
                       depth,
                       res,
                       aniso,
                       frequency,
                       nlayers=5,
                       src_type="electric",
                       rx_type="electric",
                       src_direction="x",
                       rx_direction="x",
                       verb=0):
    """
    Simulating CSEM response in a layered earth
    """
    # Safety checks
    if len(depth) != nlayers - 1:
        raise Exception("Length of depth should be nlayers-1")
    if len(res) != nlayers:
        raise Exception("Length of res should be nlayers")
    if len(aniso) != nlayers:
        raise Exception("Length of aniso should be nlayers")

    if srcloc.size != 3:
        raise Exception("size of srcloc should be 3! (x, y, z) location")

    rxlocs = np.atleast_2d(rxlocs)

    if src_direction == "x":
        src = np.r_[srcloc.flatten(), 0., 0.].tolist()
    elif src_direction == "y":
        src = np.r_[srcloc.flatten(), 90., 0.].tolist()
    elif src_direction == "z":
        src = np.r_[srcloc.flatten(), 0., 90.].tolist()
    else:
        raise Exception("src_direction should be x, y, or z")

    if rx_direction == "x":
        rx = [rxlocs[:, 0], rxlocs[:, 1], rxlocs[:, 2], 0., 0.]
    elif rx_direction == "y":
        rx = [rxlocs[:, 0], rxlocs[:, 1], rxlocs[:, 2], 90., 0.]
    elif rx_direction == "z":
        rx = [rxlocs[:, 0], rxlocs[:, 1], rxlocs[:, 2], 0., 90.]
    else:
        raise Exception("rx_direction should be x, y, or z")
    if rx_type is "electric":
        rx_type = None
    if src_type is "electric":
        src_type = None
    if len(np.unique(np.array(res))) == 1:
        xdirect = True
    else:
        xdirect = False
    inpdat = {
        'res': res,
        'src': src,
        'rec': rx,
        'depth': depth,
        'freqtime': frequency,
        'aniso': aniso,
        'verb': verb,
        'xdirect': xdirect,
        'mrec': rx_type,
        'msrc': src_type
    }
    out = bipole(**inpdat)
    return utils.EMArray(out)